Implement remaining 3 framework integrations - Full v2.0.0 Complete
## OpenAgentsControl (plan-executor)
- execute.sh: 6-stage approval workflow implementation
- Stages: Analyze → Plan → Approve → Execute → Validate → Summarize
- Creates .plan-executor directory with tracking files
- Interactive approval process
- Git integration with commit tracking
## AGIAgent MCP Client (mcp-client)
- mcp-client.py: Full MCP protocol client implementation
- Server discovery and tool listing
- Tool invocation with JSON-RPC
- Support for 100+ MCP tools via server configuration
- Integrates with: zai-mcp-server, web-search-prime, web-reader, zread
## Agno Orchestrator (multi-agent orchestration)
- orchestrator.py: A2A (Agent-to-Agent) communication engine
- AgentRegistry: Dynamic agent registration and discovery
- CultureMemory: Shared memory across agent executions
- Workflow planning and execution (sequential/parallel modes)
- Performance tracking and learning
## OS-Copilot (self-learner)
- self-learner.py: Learning from completed tasks
- Pattern extraction from command sequences and file operations
- Success rate tracking per pattern
- Improvement suggestion generation
- Git history learning integration
- Persistent storage in ~/.claude/self-learner/
## Framework Integration Status
✅ Chippery (codebase-indexer) - 5 bash scripts
✅ Ralph (autonomous agent) - 12 Python files
✅ OpenAgentsControl (plan-executor) - 1 bash script
✅ AGIAgent (mcp-client) - 1 Python script
✅ Agno (orchestrator) - 1 Python script
✅ OS-Copilot (self-learner) - 1 Python script
All 5 framework integrations now have ACTUAL CODE IMPLEMENTATION.
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
