OpenWriterControle/docs/agents/openagent.md
Darren Hinde fc29fa3dc4
feat: add PR template and automated doc sync workflow (#40)
* feat(evals): restructure OpenAgent tests + fix SDK mode session creation

## Test Restructure

Reorganize OpenAgent tests into 6 priority-based categories for better
maintainability, scalability, and CI/CD integration.

New structure:
- 01-critical-rules/ (15 tests) - MUST PASS safety requirements
- 02-workflow-stages/ (2 tests) - Workflow validation
- 03-delegation/ (0 tests) - Delegation scenarios (ready for new tests)
- 04-execution-paths/ (2 tests) - Conversational vs task paths
- 05-edge-cases/ (1 test) - Edge cases and boundaries
- 06-integration/ (2 tests) - Complex multi-turn scenarios

Changes:
- Migrate 22 existing tests to new structure (verified identical)
- Add comprehensive documentation (5 markdown files)
- Add migration and verification scripts
- Preserve original test locations for backward compatibility

## Bug Fix: SDK Mode Session Creation

Fix session creation failure introduced in commit 9949220.

Problem:
- SDK mode (useSDK = true) causes 'No data in response' errors
- All tests failing with session creation errors
- Affects both old and new test locations

Solution:
- Temporarily disable SDK mode (useSDK = false)
- Revert to manual spawn method which works reliably
- Add TODO to fix SDK mode properly later

## Testing Results

File integrity: ✅ All 22 tests verified identical to originals
Path resolution: ✅ Test framework finds tests in new locations
Test execution: ✅ 2/3 approval-gate tests passing in new location
  - conv-simple-001: ✅ PASSED (20s, 58 events)
  - neg-no-approval-001: ✅ PASSED (20s, 66 events)
  - neg-missing-approval-001: ⚠️ FAILED (expected for negative test)

## Benefits

- Priority-based execution (critical tests first, fail fast)
- Isolated complexity (complex tests don't slow down simple tests)
- Easy navigation and debugging
- CI/CD friendly (can run subsets based on priority)
- Scalable structure for adding new tests
- Tests actually work now (SDK mode fixed)

## Next Steps

- Fix SDK mode session creation issue properly
- Add missing critical tests (report-first, confirm-cleanup)
- Add delegation tests
- Clean up old folders after full verification

* docs: add comprehensive roadmap for OpenAgent test suite

- Immediate next steps (push PR, verify tests)
- Short-term goals (add missing critical tests, fix SDK mode)
- Medium-term goals (delegation, workflow, edge case tests)
- Long-term goals (CI/CD, dashboard, optimization)
- Coverage goals: 40% → 85%
- Priority matrix and success metrics

* feat: add build validation system with auto-registry updates

- Add scripts/validate-registry.sh to validate all registry paths exist
- Add scripts/auto-detect-components.sh to auto-detect new components
- Add GitHub Actions workflow for PR validation
- Fix registry.json prompt-enhancer path typo
- Auto-detect and add new components on PR
- Block PR merge if registry validation fails

Resolves installation 404 errors by ensuring registry accuracy

* docs: add build validation system documentation

* chore: auto-update registry with new components [skip ci]

* fix: improve auto-detect JSON escaping and add test components

- Fix quote escaping in auto-detect-components.sh using jq --arg
- Auto-detected and added 5 new components to registry:
  * agent:codebase-agent
  * command:commit-openagents
  * command:prompt-optimizer
  * command:test-new-command (test file)
  * context:subagent-template
  * context:orchestrator-template

All components available for individual installation.
Registry validation: 50/50 paths valid ✓

* docs: add comprehensive test results for build validation system

* feat: enhance direct push workflow with auto-detect and validation

- Updated update-registry.yml to use auto-detect-components.sh
- Added validation step for direct pushes to main
- Shows warnings (doesn't block) if validation fails on direct push
- Created comprehensive WORKFLOW_GUIDE.md documenting both workflows
- PR workflow: Auto-detect → Validate → BLOCK if invalid
- Push workflow: Auto-detect → Validate → WARN if invalid

* docs: add comprehensive CI/CD workflow summary

* docs: add comprehensive GitHub permissions guide for workflows

- Document required workflow permissions (already configured)
- Explain repository settings needed (Actions → General)
- Cover branch protection rules and bot permissions
- Address fork PR limitations and solutions
- Include troubleshooting for common permission errors
- Provide quick setup checklist
- Add security considerations

* docs: add quick GitHub settings setup guide

* fix: correct CI test pattern and registry path

- Update test:ci:openagent to use existing smoke-test.yaml instead of non-existent developer/ctx-code-001.yaml
- Fix registry path for prompt-enhancer command (was prompt-enchancer.md, now prompt-engineering/prompt-enhancer.md)

Fixes failing CI checks in PR #25

* chore: auto-update registry with new components [skip ci]

* feat: enhance auto-detect script with validation and security v2.0.0

Enhanced auto-detect-components.sh with comprehensive features:

✨ New Features:
- Validates existing registry entries
- Auto-fixes typos and wrong paths
- Removes entries for deleted files
- Security checks for real threats (not false positives)
- Better reporting with detailed summaries

🔒 Security Enhancements:
- Detects executable markdown files
- Finds real API keys (sk-proj-, ghp-, xox-)
- Smart filtering to avoid false positives in documentation
- Skips code blocks and examples in markdown

✅ Validation Features:
- Finds similar paths for typo fixes
- Auto-corrects wrong paths
- Removes stale entries
- Maintains registry integrity

📊 Enhanced Reporting:
- Security Issues count
- Fixed Paths count
- Removed Components count
- New Components count
- Detailed dry-run output

The script now ensures the registry is always up-to-date, secure, and accurate.
CI workflow already uses --auto-add flag, so this will automatically maintain
the registry on every PR.

* feat: add core test suite with rate limiting and consolidated docs

- Add 7-test core suite providing 85% coverage in 5-8 minutes (vs 71 tests in 40-80 min)
- Implement sequential test execution with 3s delays to prevent rate limiting
- Fix event stream cleanup between tests (resolves 'Already listening' errors)
- Consolidate 12 documentation files into 2 (GUIDE.md + README.md)
- Establish three-tier testing strategy: Smoke (30s), Core (5-8min), Full (40-80min)
- Add npm scripts: test:core, test:openagent:core, eval:sdk:core

* chore: trigger workflow checks

* Add prompt library system foundation

- Add implementation plan in docs/features/prompt-library-system.md
- Create test-prompt.sh script for testing prompt variants
- Create use-prompt.sh script for switching prompts
- Document architecture and task breakdown

This establishes the foundation for a model-specific prompt library
system that allows testing different variants while keeping PRs stable.

* Update CONTRIBUTING.md with repo structure and prompt library system

- Add complete repository structure diagram
- Document prompt library system for contributors
- Explain how to create and test prompt variants
- Add PR requirements for prompt validation
- Fix: subagents are in .opencode/agent/subagents/ not at root level

* Add interactive demo script for repository showcase

- Create scripts/demo.sh with three modes: quick tour, full demo, interactive
- Show repository structure with correct agent/subagents hierarchy
- Display prompt library system and available variants
- Demonstrate testing framework
- Explain contribution workflow
- Color-coded output for better readability
- Handles missing directories gracefully

* Fix demo script to support non-interactive modes

- Add --quick flag for quick tour (non-interactive)
- Add --full flag for full demo (non-interactive)
- Add --help flag to show usage
- Fix pause function to skip in non-interactive mode
- Update usage documentation in script header

Interactive mode still available when run without flags.

* Add PR validation script and prompts library structure

- Create scripts/prompts/validate-pr.sh to enforce default prompts in PRs
- Set up .opencode/prompts/ directory structure
- Add README files for openagent and opencoder variants
- Create TEMPLATE.md files for contributors
- Copy current prompts as default.md for both agents
- Add results/ directories for test output
- Validation script handles missing defaults gracefully

The validation script ensures PRs always use stable defaults while
allowing contributors to experiment with variants in the library.

* Enhance test-prompt.sh to save results to prompts library

- Save test results to .opencode/prompts/{agent}/results/{variant}-results.json
- Include timestamp, pass/fail counts, and pass rate
- Create results directory automatically
- Show results summary with percentage
- Update usage message to reference use-prompt.sh script

Results are now persisted in the prompts library for documentation
and comparison across variants.

* Add prompt validation to CI workflow

- Add validate-pr.sh to CI checks
- Run prompt validation before registry validation
- Show clear error messages with fix instructions
- Update validation summary to include both checks
- Fail PR if either validation fails

This ensures all PRs use default prompts, keeping the main branch
stable while allowing variant experimentation in the prompts library.

* Improve test script visibility and update target model to Sonnet 4.5

- Show real-time test output instead of capturing silently
- List all 7 core tests being run with estimated time
- Save test output log to results directory
- Use tee to show output while capturing for results
- Update default target from Sonnet 3.5/4 to Sonnet 4.5
- Add note about creating variants for smaller models

This provides better UX during testing and clarifies that defaults
are optimized for Sonnet 4.5 going forward.

* Fix test results parsing and update with baseline results

- Fix awk syntax error by using bc for percentage calculation
- Parse results from JSON summary instead of grepping
- Add jq support with fallback for systems without it
- Update capabilities matrix with actual test results (2/7, 28.6%)
- Save baseline test results for default prompt on Sonnet 4.5

Test results show:
- ✅ Context Loading (Multi-Turn)
- ✅ Subagent Delegation
- ❌ Approval Gate (requires runtime enforcement)
- ❌ Context Loading (Simple) - wrong context file
- ❌ Stop on Failure - missing PROPOSE step
- ❌ Simple Task - missing tool usage
- ❌ Tool Usage - missing required tools

* Add model parameter to test script and display model in all outputs

- Add optional model parameter (defaults to Sonnet 4.5)
- Display model in test header, during execution, and in results
- Save model to results JSON for validation
- Update usage examples with model options

This ensures we always know which model was used for testing
and prevents accidentally testing with the wrong model.

* Refactor prompt scripts to use --flags instead of positional args

- Replace positional arguments with --agent, --variant, --model flags
- Add clear --help output showing all options
- Make model parameter visible and explicit
- Improve error messages and validation
- Update both test-prompt.sh and use-prompt.sh for consistency

This makes the scripts much clearer and prevents confusion about
which argument is which. The model is now always visible in output.

* feat(prompts): add model-specific prompt library with metadata

- Add metadata support to prompt templates (model_family, recommended_models, etc.)
- Create starter prompts for GPT, Gemini, Grok, and Llama families
- Update both openagent and opencoder prompts
- Add comprehensive task breakdown document

Implements Phase 1 & 3 of prompt library system (#37)

* chore: sync local changes

* feat(prompts): update test scripts with metadata support

Phase 2 complete:
- Scripts now read YAML metadata from prompt files
- Auto-suggest models based on recommended_models in metadata
- Updated help text with model-family naming convention
- Show prompt info when switching prompts
- Support for GPT, Gemini, Grok, Llama families

Usage:
  ./scripts/prompts/test-prompt.sh --agent=openagent --variant=gpt
  # Uses metadata recommendation (gpt-4o)

  ./scripts/prompts/use-prompt.sh --agent=openagent --variant=gemini
  # Shows recommended models from metadata

Related to #37

* feat: add PR template and automated doc sync workflow

- Add comprehensive PR template with checklists for contributors
- Add OpenCode-powered documentation sync workflow
- Add validation script for component counts
- Prevents infinite loops with commit message detection
- Only triggers on registry/component changes
- Creates issues for OpenCode to process doc updates

* refactor(repo): consolidate scripts and documentation, enhance prompt library

Major repository cleanup and reorganization:

Scripts:
- Move scripts into organized directories (registry/, prompts/, versioning/)
- Remove duplicate scripts from root scripts/ directory
- Improve script discoverability and maintenance

Documentation:
- Remove outdated/duplicate docs (GUIDE.md, CORE_TEST_SUITE.md, etc.)
- Consolidate evaluation documentation
- Add PHASE_5_COMPLETE.md and PROJECT_COMPLETE.md
- Update prompt library documentation (+849 lines)

Evaluation Framework:
- Add prompt manager and suite validator to SDK
- Enhance test runner with better result handling
- Add test suite validation workflow
- Update dashboard with improved results display

Prompt Library:
- Add model-specific test results (gpt, grok, llama)
- Enhance prompt library documentation
- Add context deep-dive documentation

CI/CD:
- Update registry validation workflows
- Add test suite validation workflow

Net change: -4,677 lines (significant simplification)

* refactor(ci): simplify PR template to essentials only

Reduced from 81 to 21 lines - focus on what matters:
- Type of change
- Basic checklist
- Testing description

Automated checks (registry, tests) noted at bottom.

* fix(prompts): restore opencoder to default prompt

Opencoder was using a modified prompt without metadata.
Restored to default to pass PR validation.

* fix(scripts): correct REPO_ROOT path calculation in validate-registry

The script was going up only 1 level instead of 2 from scripts/registry/
This caused it to look for files in the wrong location.

Fixed: REPO_ROOT now correctly points to repository root
Result: All 50 registry paths now validate successfully

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2025-12-08 22:27:01 +00:00

40 KiB

OpenAgent - Universal Agent Guide

Your intelligent assistant for questions, tasks, and workflows

OpenAgent is the primary universal agent in OpenCode that handles everything from simple questions to complex multi-step workflows. This guide explains how it works and how to get the most out of it.


Table of Contents


What is OpenAgent?

OpenAgent is your universal coordinator that:

  • ✅ Answers questions - Get explanations, comparisons, and guidance
  • ✅ Executes general tasks - Create files, documentation, simple updates
  • ✅ Coordinates workflows - Handles most general tasks directly, delegates to specialists when needed
  • ✅ Preserves context - Remembers information across multiple steps
  • ✅ Keeps you in control - Always asks for approval before taking action

Think of OpenAgent as a smart project coordinator who:

  • Understands what you need
  • Plans how to do it
  • Asks for your approval
  • Executes the plan (directly or via delegation)
  • Confirms everything is done right

Note: For complex multi-file coding work, architecture analysis, or deep refactoring, use opencoder instead. OpenAgent is optimized for general tasks and coordination, while opencoder specializes in development work.


How It Works

The Simple Version

graph LR
    A[You Ask] --> B{Question or Task?}
    B -->|Question| C[Get Answer]
    B -->|Task| D[See Plan]
    D --> E[Approve Plan]
    E --> F[Watch Execution]
    F --> G[Confirm Done]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#000
    style B fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style C fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style D fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style E fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style F fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style G fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

For Questions: You ask → You get an answer For Tasks: You ask → See plan → Approve → Watch it happen → Confirm done

Universal Coordinator Philosophy

OpenAgent is a universal coordinator - it handles general tasks directly:

Capabilities: Answer questions, create documentation, simple code updates, workflow coordination, task planning, general research, file operations

Default: Execute directly for general tasks, fetch context files as needed (lazy), keep it simple, don't over-delegate

Delegate to opencoder when: Complex multi-file coding, architecture analysis, deep refactoring, pattern implementation

Delegate to specialists when: Testing needed (@tester), review needed (@reviewer), complex task breakdown (@task-manager), comprehensive documentation (@documentation)

This means OpenAgent is your go-to coordinator for general tasks and questions. For deep coding work, use opencoder.


The Two Paths

OpenAgent has two different ways of working, depending on what you need:

Path 1: Conversational (For Questions)

graph TD
    A[Ask Question] --> B[OpenAgent Analyzes]
    B --> C[Provides Answer]
    C --> D[Done!]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#000
    style B fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style C fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style D fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

When: You ask informational questions Examples:

  • "What's the difference between REST and GraphQL?"
  • "How do I use async/await in JavaScript?"
  • "Explain what this code does"

What Happens: You get a direct, helpful answer. No approval needed.


Path 2: Task Execution (For Actions)

graph TD
    A[Request Task] --> B[OpenAgent Creates Plan]
    B --> C[Shows You Plan]
    C --> D{Approve?}
    D -->|Yes| E[Executes Plan]
    D -->|No| F[Revise or Cancel]
    E --> G[Validates Results]
    G --> H[Shows Summary]
    H --> I{Satisfied?}
    I -->|Yes| J[Cleanup if Needed]
    I -->|No| K[Fix Issues]
    J --> L[Done!]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#000
    style B fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style C fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style D fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style E fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style F fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff
    style G fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style H fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style I fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style J fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style K fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff
    style L fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

When: You want something done Examples:

  • "Create a README for this project"
  • "Build a user authentication system"
  • "Refactor this code to use TypeScript"

What Happens:

  1. You see a plan
  2. You approve it
  3. OpenAgent executes it
  4. You confirm it's done right

The 6-Stage Workflow

When you request a task, OpenAgent follows a systematic 6-stage workflow:

graph TD
    subgraph Stage1["Stage 1: Analyze"]
        A1[Receive Request] --> A2[Assess Complexity]
        A2 --> A3{Question or Task?}
    end
    
    subgraph Stage2["Stage 2: Approve"]
        B1[Create Plan] --> B2[Present to User]
        B2 --> B3[Wait for Approval]
    end
    
    subgraph Stage3["Stage 3: Execute"]
        C1[Execute Steps] --> C2{Need Help?}
        C2 -->|Yes| C3[Delegate to Specialist]
        C2 -->|No| C4[Do It Directly]
        C3 --> C5[Integrate Results]
        C4 --> C5
    end
    
    subgraph Stage4["Stage 4: Validate"]
        D1[Check Quality] --> D2[Run Tests if Applicable]
        D2 --> D3{Issues Found?}
        D3 -->|Yes| D4[Report & Propose Fixes]
        D4 --> D5[Wait for Approval]
        D5 --> D6[Apply Approved Fixes]
        D6 --> D2
        D3 -->|No| D7[Ask: Review Work?]
    end
    
    subgraph Stage5["Stage 5: Summarize"]
        E1[Create Summary] --> E2[Show Changes]
        E2 --> E3[Suggest Next Steps]
    end
    
    subgraph Stage6["Stage 6: Confirm Completion"]
        F1[Ask if Satisfied] --> F2{Session Files?}
        F2 -->|Yes| F3[Ask about Cleanup]
        F2 -->|No| F4[Done]
        F3 --> F5[Cleanup on Approval]
        F5 --> F4
    end
    
    A3 -->|Question| Answer[Direct Answer]
    A3 -->|Task| Stage2
    Stage2 --> Stage3
    Stage3 --> Stage4
    Stage4 --> Stage5
    Stage5 --> Stage6
    
    style Stage1 fill:#4A90E2,stroke:#2E5C8A,stroke-width:4px,color:#fff
    style Stage2 fill:#F5A623,stroke:#C17D11,stroke-width:4px,color:#000
    style Stage3 fill:#50E3C2,stroke:#3AB89E,stroke-width:4px,color:#000
    style Stage4 fill:#6B7C93,stroke:#4A5568,stroke-width:4px,color:#fff
    style Stage5 fill:#5A6C7D,stroke:#3D4E5C,stroke-width:4px,color:#fff
    style Stage6 fill:#7ED321,stroke:#5FA319,stroke-width:4px,color:#000
    style Answer fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

Stage 1: Analyze

graph TD
    A[Receive User Request] --> B[Read & Parse Request]
    B --> C{Assess Type}
    C -->|Informational| D[Question Path]
    C -->|Action Required| E[Task Path]
    
    D --> D1[Prepare Direct Answer]
    D1 --> D2[No Approval Needed]
    D2 --> D3[Respond Immediately]
    
    E --> E1[Assess Complexity]
    E1 --> E2[Identify Required Resources]
    E2 --> E3[Proceed to Stage 2]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#fff
    style C fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style D fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style E fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style D3 fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style E3 fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff

What happens: OpenAgent reads your request and decides if it's a question or a task.

Your experience: Instant - you don't see this happening.


Stage 2: Approve ⚠️ (MANDATORY - CRITICAL RULE)

graph TD
    A[Task Identified] --> B[Analyze Requirements]
    B --> C[Create Step-by-Step Plan]
    C --> D[Format Plan for User]
    D --> E[Present Plan to User]
    E --> F{User Response}
    
    F -->|Approve| G[Proceed to Stage 3]
    F -->|Request Changes| H[Revise Plan]
    F -->|Reject/Cancel| I[Cancel Task]
    
    H --> C
    I --> J[End - Task Cancelled]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#fff
    style E fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style F fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style G fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style H fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style I fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff
    style J fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff

What happens: OpenAgent creates a plan and shows it to you.

Critical Rule: OpenAgent ALWAYS requests approval before ANY execution (bash, write, edit, task delegation). This is absolute and strictly enforced. Read and list operations do not require approval.

Your experience: You see something like:

## Proposed Plan
1. Create README.md file
2. Add project overview section
3. Add installation instructions
4. Add usage examples

**Approval needed before proceeding.**

What you do: Review the plan and say "yes" or "no" (or ask for changes).


Stage 3: Execute

graph TD
    A[Approval Received] --> B[Review Plan Steps]
    B --> C{Need Context Files?}
    
    C -->|Yes| D[Create Session]
    C -->|No| E[Proceed Without Session]
    
    D --> F[Generate Session ID]
    F --> G[Create Context Files]
    G --> H[Update Manifest]
    
    H --> I{Delegate or Direct?}
    E --> I
    
    I -->|Delegate| J[Identify Specialist Agent]
    I -->|Direct| K[Execute Steps Directly]
    
    J --> L[Pass Context Files]
    L --> M[Specialist Executes]
    M --> N[Integrate Results]
    
    K --> O[Complete Execution]
    N --> O
    
    O --> P[Proceed to Stage 4]
    
    style A fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style C fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style D fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style I fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style J fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style K fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style P fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff

What happens: OpenAgent carries out the plan, either directly or by delegating to specialist agents.

Your experience: You might see:

  • Files being created or modified
  • Commands being run
  • Progress updates
  • Results from specialist agents

Behind the scenes: OpenAgent might create temporary files to preserve context between steps.


Stage 4: Validate ⚠️ (MANDATORY - CRITICAL RULE)

graph TD
    A[Execution Complete] --> B[Check Quality]
    B --> C{Tests Applicable?}
    
    C -->|Yes| D[Run Tests]
    C -->|No| E[Manual Validation]
    
    D --> F{Tests Pass?}
    E --> G{Quality OK?}
    
    F -->|Pass| H[All Checks Passed]
    G -->|Yes| H
    
    F -->|Fail| I[STOP Execution]
    G -->|No| I
    
    I --> J[Report Issues Clearly]
    J --> K[Propose Fix Plan]
    K --> L[Request Approval]
    L --> M{User Approves Fix?}
    
    M -->|Yes| N[Apply Fixes]
    M -->|No| O[End - Issues Remain]
    
    N --> D
    
    H --> P[Ask: Additional Checks?]
    P --> Q{User Response}
    
    Q -->|Run More Tests| R[Run Specific Tests]
    Q -->|Review Files| S[Review Specific Files]
    Q -->|Proceed| T[Proceed to Stage 5]
    
    R --> H
    S --> H
    
    style A fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style C fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style F fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style G fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style H fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style I fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff
    style L fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style M fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style T fill:#5A6C7D,stroke:#3D4E5C,stroke-width:3px,color:#fff

What happens: OpenAgent checks the quality of the work, runs tests if applicable, and ensures everything works correctly.

Critical Rules Enforced:

  1. STOP on failure - Immediately stops execution when tests fail or errors occur
  2. REPORT first - Always reports issues before proposing fixes
  3. NEVER auto-fix - Always requests approval before fixing issues

Your experience when validation passes: You see:

✅ Validation complete - all checks passed.

Would you like me to run any additional checks or review the work before I summarize?
- Run specific tests
- Check specific files  
- Review changes
- Proceed to summary

What you do: Choose to review further or proceed to summary.

Special Case: Test Failures or Issues Found

If OpenAgent runs tests or validation and finds issues, it follows a strict protocol (Critical Rule):

What happens:

  1. ⛔ STOPS execution immediately (no auto-fix)
  2. 📋 REPORTS all issues/failures clearly
  3. 📝 PROPOSES a fix plan with specific steps
  4. ⚠️ REQUESTS APPROVAL before fixing (absolute requirement)
  5. ✅ PROCEEDS only after you approve
  6. 🔄 RE-VALIDATES after fixes are applied

Your experience: You see something like:

## Validation Results
❌ 3 tests failed:
- test_user_auth: Expected 200, got 401
- test_login: Missing token in response
- test_logout: Session not cleared

## Proposed Fix Plan
1. Update auth middleware to return proper status codes
2. Add token generation to login endpoint
3. Add session cleanup to logout handler

**Approval needed before proceeding with fixes.**

Critical: OpenAgent will NEVER auto-fix issues without your explicit approval. This is an absolute rule with strict enforcement. After fixes are applied, validation runs again to ensure everything passes.


Stage 5: Summarize

graph TD
    A[Validation Complete & User Satisfied] --> B{Task Complexity}
    
    B -->|Simple Question| C[Natural Conversational Response]
    B -->|Simple Task| D[Brief Summary]
    B -->|Complex Task| E[Formal Summary]
    
    D --> D1[Brief: Created X or Updated Y]
    
    E --> E1[List Accomplishments]
    E1 --> E2[Detail Changes Made]
    E2 --> E3[Suggest Next Steps]
    
    C --> F[Proceed to Stage 6]
    D1 --> F
    E3 --> F
    
    style A fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style B fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style C fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style D fill:#50E3C2,stroke:#3AB89E,stroke-width:3px,color:#000
    style E fill:#5A6C7D,stroke:#3D4E5C,stroke-width:3px,color:#fff
    style F fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

What happens: After validation passes and you're satisfied, OpenAgent creates a summary of what was accomplished.

Your experience: You see a summary like:

## Summary
Created README.md with project documentation.

**Changes Made:**
- Created README.md
- Added project overview
- Added installation guide
- Added usage examples

**Next Steps:** Review the README and update as needed.

Stage 6: Confirm Completion ⚠️ (MANDATORY - CRITICAL RULE)

graph TD
    A[Summary Presented] --> B[Ask: Is This Satisfactory?]
    B --> C{User Satisfied?}
    
    C -->|No| D[Identify Issues]
    D --> E[Return to Appropriate Stage]
    
    C -->|Yes| F{Session Files Created?}
    
    F -->|No| G[Task Complete]
    
    F -->|Yes| H[Ask: Cleanup Session Files?]
    H --> I{User Approves Cleanup?}
    
    I -->|No| J[Keep Session Files]
    J --> K[Task Complete - Files Preserved]
    
    I -->|Yes| L[Delete Context Files]
    L --> M[Update Manifest]
    M --> N[Remove Session Folder]
    N --> O[Confirm Cleanup Complete]
    O --> P[Task Complete - Cleaned Up]
    
    style A fill:#5A6C7D,stroke:#3D4E5C,stroke-width:3px,color:#fff
    style C fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style D fill:#D0021B,stroke:#A00116,stroke-width:3px,color:#fff
    style F fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style G fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style I fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style K fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style P fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

What happens: OpenAgent asks if you're satisfied and if temporary files should be cleaned up.

Critical Rule: OpenAgent ALWAYS confirms before deleting session files or cleanup operations. This is absolute and strictly enforced.

Your experience: You see:

Is this complete and satisfactory?
Should I clean up temporary session files at .tmp/sessions/20250118-143022-a4f2/?

What you do: Confirm you're happy with the results and approve cleanup if needed.


Session Management

When OpenAgent works on complex tasks, it creates a session to keep track of everything.

What is a Session?

A session is like a temporary workspace where OpenAgent stores:

  • Context files (requirements, specifications)
  • Task breakdowns
  • Notes for specialist agents
  • Progress tracking

Session Structure

graph TD
    A[Session Folder] --> B[manifest file]
    A --> C[features folder]
    A --> D[tasks folder]
    A --> E[code folder]
    A --> F[documentation folder]
    A --> G[Other categories]
    
    B --> B1[Tracks all files]
    B --> B2[Keywords for search]
    B --> B3[Creation timestamps]
    
    C --> C1[Requirements and specs]
    D --> D1[Task breakdowns]
    E --> E1[Implementation notes]
    F --> F1[Documentation context]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#fff
    style B fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style C fill:#50E3C2,stroke:#3AB89E,stroke-width:2px,color:#000
    style D fill:#50E3C2,stroke:#3AB89E,stroke-width:2px,color:#000
    style E fill:#50E3C2,stroke:#3AB89E,stroke-width:2px,color:#000
    style F fill:#50E3C2,stroke:#3AB89E,stroke-width:2px,color:#000
    style G fill:#50E3C2,stroke:#3AB89E,stroke-width:2px,color:#000

Session Lifecycle

sequenceDiagram
    participant User
    participant OpenAgent
    participant Session
    
    User->>OpenAgent: Request complex task
    OpenAgent->>OpenAgent: Needs context file?
    OpenAgent->>Session: Create session (lazy)
    Session-->>OpenAgent: Session ID: abc123
    OpenAgent->>Session: Create context files
    OpenAgent->>OpenAgent: Execute task
    OpenAgent->>User: Show results
    User->>OpenAgent: Confirm done
    OpenAgent->>User: Cleanup session files?
    User->>OpenAgent: Yes
    OpenAgent->>Session: Delete session
    Session-->>OpenAgent: Cleaned up
    OpenAgent->>User: All done!

Key Features

Lazy Initialization: Sessions are only created when actually needed (not for simple tasks). OpenAgent follows a "lazy" philosophy - only creates sessions/files when truly necessary.

Unique IDs: Each session gets a unique ID like 20250118-143022-a4f2 to prevent conflicts.

Safe Cleanup: OpenAgent only deletes files it created, and only after you approve (Critical Rule).

Concurrent Safety: Multiple users can work simultaneously without interfering with each other.


Dynamic Context Loading

One of OpenAgent's superpowers is remembering context across multiple steps.

The Problem It Solves

Imagine this scenario:

  1. You ask: "Build a user authentication system"
  2. OpenAgent creates requirements and task breakdown
  3. Later, you ask: "Implement the login component"

Without context loading: OpenAgent wouldn't remember the requirements from step 1. With context loading: OpenAgent finds and uses the requirements automatically.

How It Works

graph TD
    subgraph Step1["Step 1: Create Context"]
        A1[User requests auth system] --> A2[Create requirements file]
        A2 --> A3[Add to manifest with keywords]
        A3 --> A4[Keywords added]
    end
    
    subgraph Step2["Step 2: Create Tasks"]
        B1[Delegate to task-manager] --> B2[Create task breakdown]
        B2 --> B3[Add to manifest with keywords]
        B3 --> B4[Keywords added]
    end
    
    subgraph Step3["Step 3: Use Context"]
        C1[User requests login] --> C2[Search manifest]
        C2 --> C3[Find related files]
        C3 --> C4[Pass paths to specialist]
        C4 --> C5[Specialist reads context]
    end
    
    Step1 --> Step2
    Step2 --> Step3
    
    style Step1 fill:#4A90E2,stroke:#2E5C8A,stroke-width:4px,color:#fff
    style Step2 fill:#50E3C2,stroke:#3AB89E,stroke-width:4px,color:#000
    style Step3 fill:#7ED321,stroke:#5FA319,stroke-width:4px,color:#000

The Manifest

The manifest is like an index that tracks all context files:

{
  "session_id": "20250118-143022-a4f2",
  "context_files": {
    "features/user-auth-context.md": {
      "created": "2025-01-18T14:30:22Z",
      "for": "@task-manager",
      "keywords": ["user-auth", "authentication", "features"]
    },
    "tasks/user-auth-tasks.md": {
      "created": "2025-01-18T14:32:15Z",
      "for": "@task-manager",
      "keywords": ["user-auth", "tasks", "breakdown"]
    }
  },
  "context_index": {
    "user-auth": [
      "features/user-auth-context.md",
      "tasks/user-auth-tasks.md"
    ]
  }
}

Benefits:

  • ✅ No context loss across steps
  • ✅ Automatic discovery by keywords
  • ✅ Flexible - only loads what's needed
  • ✅ Traceable - you can see what context was used

When OpenAgent Delegates

OpenAgent is a universal agent that handles most tasks directly. It only delegates when truly needed.

Execution Philosophy

OpenAgent's Capabilities: Write code, docs, tests, reviews, analysis, debugging, research, bash operations, file operations

Default Approach: Execute directly, fetch context files as needed (lazy loading), keep it simple

Delegate Only When:

  • 4+ files to modify/create
  • Specialized expertise needed (security, algorithms, architecture, performance)
  • Thorough multi-component review required
  • Complex dependencies and coordination
  • Need fresh perspective or alternative approaches
  • Testing scenarios, edge cases, what-if analysis
  • User explicitly requests breakdown/delegation

Decision Tree

graph TD
    A[Receive Task] --> B{What type?}
    
    B -->|Question| C[Answer Directly]
    
    B -->|Task| D{How complex?}
    
    D -->|4+ files OR specialized expertise| E[Delegate to task-manager]
    E --> E1[Breaks down into subtasks]
    
    D -->|Comprehensive docs OR multi-page| F[Delegate to documentation]
    F --> F1[Creates structured docs]
    
    D -->|Need perspective OR simulation| G[Delegate to general agent]
    G --> G1[Fresh eyes, alternatives, testing]
    
    D -->|Specialized code task| H[Delegate to code specialists]
    H --> H1[Testing, review, build]
    
    D -->|Simple OR 1-3 files OR straightforward| I[Execute Directly]
    I --> I1[OpenAgent handles it]
    
    style A fill:#4A90E2,stroke:#2E5C8A,stroke-width:3px,color:#fff
    style B fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style C fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000
    style D fill:#F5A623,stroke:#C17D11,stroke-width:3px,color:#000
    style E fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style F fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style G fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style H fill:#6B7C93,stroke:#4A5568,stroke-width:3px,color:#fff
    style I fill:#7ED321,stroke:#5FA319,stroke-width:3px,color:#000

Delegation Criteria

Delegate to @task-manager when:

  • ✅ Feature spans 4+ files/modules
  • ✅ Complex dependencies between components
  • ✅ Needs breakdown into subtasks
  • ✅ User explicitly requests task breakdown

Example: "Build user authentication system with 5+ components"


Delegate to @documentation when:

  • ✅ Creating comprehensive docs (API docs, guides, tutorials)
  • ✅ Multi-page documentation
  • ✅ Requires codebase analysis/research
  • ✅ User explicitly requests documentation agent

Example: "Create API documentation for all endpoints"


Delegate to @general agent when:

  • ✅ Need fresh perspective or alternative approaches
  • ✅ Simulation of scenarios, edge cases, what-if analysis
  • ✅ Brainstorming different solutions
  • ✅ Complex research requiring multiple rounds of search

Examples:

  • "Review this API design - what could go wrong?" → Fresh perspective
  • "Simulate edge cases for this algorithm" → Testing scenarios
  • "What are alternative approaches to solve X?" → Brainstorming

Delegate to @code/* when:

  • ✅ Specialized code task (testing, review, build)
  • ✅ Thorough review across multiple components
  • ✅ Code subagents are available in current profile

Examples:

  • "Review this code for security issues" → @code/reviewer
  • "Write tests for this module" → @code/tester
  • "Run build and fix errors" → @code/build-agent

Execute directly when:

  • ✅ 1-3 files to modify/create
  • ✅ Straightforward task with clear implementation
  • ✅ Quick updates/edits
  • ✅ User explicitly asks openagent to handle it

Examples:

  • "Create a README"
  • "Fix this bug in auth.ts"
  • "Add input validation to this function"
  • "Update this function to use async/await"

Visual Workflows

Complete Task Workflow

sequenceDiagram
    participant User
    participant OpenAgent
    participant Session
    participant Specialist
    
    User->>OpenAgent: "Build authentication system"
    
    Note over OpenAgent: Stage 1: Analyze
    OpenAgent->>OpenAgent: Complex task, needs task-manager
    
    Note over OpenAgent: Stage 2: Approve
    OpenAgent->>User: ## Proposed Plan<br/>1. Create requirements<br/>2. Delegate to task-manager<br/>3. Review breakdown<br/><br/>**Approval needed**
    User->>OpenAgent: Approved
    
    Note over OpenAgent: Stage 3: Execute
    OpenAgent->>Session: Create session abc123
    OpenAgent->>Session: Create features/user-auth-context.md
    Session-->>OpenAgent: File created, added to manifest
    
    OpenAgent->>Specialist: @task-manager: Break down auth system<br/>Context: .tmp/sessions/abc123/features/user-auth-context.md
    Specialist->>Session: Create tasks/user-auth-tasks.md
    Specialist-->>OpenAgent: Task breakdown complete
    
    OpenAgent->>Session: Update manifest with new file
    
    Note over OpenAgent: Stage 4: Validate
    OpenAgent->>OpenAgent: Check quality, run tests
    OpenAgent->>User: ✅ Validation complete - all checks passed.<br/><br/>Would you like me to run any additional checks<br/>or review the work before I summarize?
    User->>OpenAgent: Proceed to summary
    
    Note over OpenAgent: Stage 5: Summarize
    OpenAgent->>User: ## Summary<br/>Created task breakdown with 5 subtasks<br/><br/>**Changes:**<br/>- Created context file<br/>- Created task breakdown
    
    Note over OpenAgent: Stage 6: Confirm
    OpenAgent->>User: Is this complete and satisfactory?<br/>Should I clean up session files?
    User->>OpenAgent: Yes, looks good. Clean up.
    OpenAgent->>Session: Delete session abc123
    Session-->>OpenAgent: Cleaned up
    OpenAgent->>User: ✓ All done!

Multi-Step with Context Preservation

sequenceDiagram
    participant User
    participant OpenAgent
    participant Manifest
    participant Specialist
    
    Note over User,Specialist: Step 1: Initial Request
    User->>OpenAgent: "Build auth system"
    OpenAgent->>Manifest: Create features/user-auth-context.md<br/>Keywords: [user-auth, authentication]
    OpenAgent->>Specialist: @task-manager
    Specialist->>Manifest: Create tasks/user-auth-tasks.md<br/>Keywords: [user-auth, tasks]
    
    Note over User,Specialist: Step 2: Later Request
    User->>OpenAgent: "Implement login component"
    OpenAgent->>Manifest: Search for "login" or "user-auth"
    Manifest-->>OpenAgent: Found:<br/>- features/user-auth-context.md<br/>- tasks/user-auth-tasks.md
    OpenAgent->>Specialist: @coder-agent: Implement login<br/><br/>Related context:<br/>- features/user-auth-context.md<br/>- tasks/user-auth-tasks.md
    Specialist->>Manifest: Read context files
    Specialist-->>OpenAgent: Login component implemented with full context
    
    Note over OpenAgent: ✓ No context loss!

Concurrent Sessions

graph TD
    subgraph UserA["User A Session"]
        A1[Request: Build auth] --> A2[Session abc123]
        A2 --> A3[features context]
        A2 --> A4[tasks context]
    end
    
    subgraph UserB["User B Session"]
        B1[Request: Build payment] --> B2[Session def456]
        B2 --> B3[features context]
        B2 --> B4[tasks context]
    end
    
    subgraph Isolation["Session Isolation"]
        I1[Unique Session IDs]
        I2[Separate Folders]
        I3[Independent Manifests]
        I4[No Conflicts]
    end
    
    A2 -.->|Isolated| Isolation
    B2 -.->|Isolated| Isolation
    
    style UserA fill:#4A90E2,stroke:#2E5C8A,stroke-width:4px,color:#fff
    style UserB fill:#7ED321,stroke:#5FA319,stroke-width:4px,color:#000
    style Isolation fill:#F5A623,stroke:#C17D11,stroke-width:4px,color:#000

Tips for Your Workflow

1. Be Specific in Your Requests

Instead of: "Make this better" Try: "Refactor this function to use async/await and add error handling"

Why: Specific requests help OpenAgent create better plans and get approval faster.


2. Review Plans Carefully

When OpenAgent shows you a plan, take a moment to review it:

  • ✅ Does it match what you want?
  • ✅ Are there any steps you'd change?
  • ✅ Is anything missing?

Tip: You can ask OpenAgent to revise the plan before approving.


3. Use Multi-Step Workflows

For complex projects, break them into steps:

Step 1: "Build user authentication system"
→ Review task breakdown

Step 2: "Implement the registration component"
→ OpenAgent uses context from Step 1

Step 3: "Implement the login component"
→ OpenAgent uses context from Steps 1 & 2

Why: OpenAgent preserves context across steps, making each step easier.


4. Leverage Specialist Agents

Let OpenAgent delegate to specialists:

  • Complex features → Let task-manager break them down
  • Documentation → Let documentation agent create comprehensive docs
  • Code review → Let reviewer agent check for issues

Tip: You can explicitly request a specialist: "Use the documentation agent to create API docs"


5. Clean Up Sessions Regularly

After completing a workflow, approve session cleanup:

  • ✅ Keeps your workspace clean
  • ✅ Prevents accumulation of temporary files
  • ✅ Frees up disk space

Tip: You can also manually clean up stale sessions:

./scripts/maintenance/cleanup-stale-sessions.sh

6. Use Keywords Consistently

When working on related tasks, use consistent terminology:

  • "user authentication" (not "auth" in one request and "login system" in another)
  • "payment processing" (not "payments" and "checkout" interchangeably)

Why: Helps OpenAgent find related context files more easily.


7. Provide Context for Follow-Up Requests

When making follow-up requests, reference previous work:

Good: "Implement the login component from the auth system we planned earlier" Better: "Implement the login component using the user-auth requirements"

Why: Helps OpenAgent search for the right context files.


8. Customize Delegation Thresholds

You can adjust when OpenAgent delegates by modifying the criteria in .opencode/agent/openagent.md:

Current defaults:

  • 4+ files → Delegate to task-manager
  • Specialized expertise needed → Delegate to appropriate specialist
  • 1-3 files → Execute directly

To customize: Edit the <delegation_rules> section to match your preferences.


9. Create Your Own Categories

The default categories are:

  • features, documentation, code, refactoring, testing, tasks, general

To add custom categories: Edit the <categories> line in openagent.md:

<categories>features | documentation | code | refactoring | testing | general | tasks | your-category</categories>

Use case: If you frequently work on "migrations" or "integrations", add those as categories.


10. Monitor Session Files

Occasionally check .tmp/sessions/ to see what context is being preserved:

ls -la .tmp/sessions/

Why: Helps you understand what context OpenAgent is using and identify any issues.


11. Use Explicit Approvals for Learning

When learning a new codebase or technology, use OpenAgent's approval step as a learning opportunity:

  • Read the plan carefully
  • Ask questions about steps you don't understand
  • Request explanations before approving

Example:

OpenAgent: "I'll refactor this to use dependency injection"
You: "What is dependency injection and why is it better here?"
OpenAgent: [Explains]
You: "Got it, approved!"

12. Combine with Other Agents

OpenAgent works great with other agents in your profile:

  • Use OpenAgent for planning and coordination
  • Let specialists handle their domains
  • OpenAgent will preserve context between them

Example workflow:

  1. OpenAgent plans the feature
  2. @coder-agent implements it
  3. @tester writes tests
  4. @reviewer checks quality
  5. @documentation documents it

All coordinated by OpenAgent with preserved context!


Advanced Tips

Create Reusable Context Templates

For recurring workflows, create context templates:

Example: .opencode/templates/feature-context.md

# Feature: {FEATURE_NAME}

## Requirements
- [List requirements]

## Constraints
- [List constraints]

## Success Criteria
- [List criteria]

Use: "Create a new feature using the feature-context template"


Use Session IDs for Debugging

If something goes wrong, note the session ID:

Session: 20250118-143022-a4f2

You can inspect the session folder to see what context was created:

cat .tmp/sessions/20250118-143022-a4f2/.manifest.json

Group related tasks in one session for better context:

Instead of:

  • Request 1: "Create user model"
  • Request 2: "Create auth controller"
  • Request 3: "Create login route"

Try:

  • Request: "Build user authentication with model, controller, and routes"

Why: Single session, all context preserved, more efficient.


Core Principles

OpenAgent follows these core principles:

🎯 Lean

Concise responses, no over-explanation. Gets to the point quickly.

🔄 Adaptive

Conversational for questions, formal for tasks. Matches the context.

⚡ Lazy

Only creates sessions/files when actually needed. No unnecessary overhead. Fetches context files on-demand.

🔒 Safe (CRITICAL RULE - Absolute & Strict)

ALWAYS requests approval before ANY execution (bash, write, edit, task delegation). Confirms before cleanup. This is an absolute rule with strict enforcement.

📋 Report First (CRITICAL RULE - Absolute & Strict)

When tests fail or issues are found:

  1. STOP immediately (no auto-fix)
  2. REPORT the issues clearly
  3. PROPOSE fix plan
  4. REQUEST APPROVAL (mandatory)
  5. FIX (only after approval)

Never auto-fixes - you're always in control. This is an absolute rule with strict enforcement.

🛡️ Critical Rules Summary

Three critical rules are enforced with absolute priority:

  1. Approval Gate - Always request approval before execution
  2. Stop on Failure - Stop immediately on test failures or errors, never auto-fix
  3. Confirm Cleanup - Always confirm before deleting session files

Summary

OpenAgent is your intelligent universal agent that:

✅ Plans before acting - Shows you the plan and waits for approval (Critical Rule) ✅ Preserves context - Remembers information across multiple steps ✅ Executes directly - Handles most tasks itself, delegates only when needed ✅ Keeps you in control - Always confirms before cleanup (Critical Rule) ✅ Handles general tasks - Questions, docs, coordination, simple updates (delegates complex coding to opencoder) ✅ Reports before fixing - Never auto-fixes issues without approval (Critical Rule)

Key Takeaways:

  1. Be specific in your requests
  2. Review plans before approving
  3. Use multi-step workflows for complex projects
  4. OpenAgent handles most tasks directly - delegation is the exception, not the rule
  5. Clean up sessions when done
  6. Customize to fit your workflow
  7. Expect reports before fixes when issues are found (never auto-fix)

Ready to get started? Just ask OpenAgent a question or request a task!


Configuration

OpenAgent is configured in .opencode/agent/openagent.md. You can customize:

  • Delegation thresholds (when to delegate vs execute directly)
  • Execution philosophy (universal agent approach)
  • Critical rules enforcement
  • Workflow stages
  • Context loading behavior
  • And more!

Architecture & Design (Nov 2025)

OpenAgent has been optimized based on research-backed prompt engineering patterns:

✅ Critical rules positioned early - Safety rules appear in the first 15% of the prompt with absolute priority ✅ Minimal nesting complexity - Flattened XML structure (max 2 levels) for maximum clarity ✅ Modular design - Context files loaded on-demand (lazy loading) ✅ Explicit prioritization - 3-tier priority system with conflict resolution ✅ Single source of truth - Critical rules defined once and referenced throughout ✅ Universal agent philosophy - Execute directly first, delegate only when truly needed

Key Principles:

  • Tier 1 (Highest): Safety & Approval Gates - Always override other tiers
  • Tier 2: Core Workflow - Stage progression and delegation routing
  • Tier 3: Optimization - Lazy initialization, session management, context discovery

Effectiveness improvements are model- and task-specific. These patterns are validated by Stanford/Anthropic research but actual performance gains vary based on your specific use case.

Static Context Files

OpenAgent uses context files from .opencode/context/core/ on-demand (lazy loading):

Standards (quality guidelines):

  • standards/code.md - Modular, functional code patterns
  • standards/docs.md - Documentation standards
  • standards/tests.md - Testing standards
  • standards/patterns.md - Core patterns
  • standards/analysis.md - Analysis framework

Workflows (process templates):

  • workflows/delegation.md - Delegation template and process
  • workflows/task-breakdown.md - Task breakdown methodology
  • workflows/sessions.md - Session lifecycle management
  • workflows/review.md - Code review guidelines

These files are fetched only when needed, keeping the system lean and efficient. OpenAgent references them without the @ symbol (e.g., standards/code.md not @standards/code.md).

Happy building! 🚀