Files
community-ade/README.md
Ani (Annie Tunturi) 00382055c6 Initial commit: Community ADE foundation
- Project structure: docs/, src/, tests/, proto/
- Research synthesis: Letta vs commercial ADEs
- Architecture: Redis Streams queue design
- Phase 1 orchestration design
- Execution plan and project state tracking
- Working subagent system (manager.ts fixes)

This is the foundation for a Community ADE built on Letta's
stateful agent architecture with git-native MemFS.

👾 Generated with [Letta Code](https://letta.com)

Co-Authored-By: Letta Code <noreply@letta.com>
2026-03-18 10:30:20 -04:00

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1.8 KiB
Markdown

# Community ADE (Agentic Development Environment)
A community-driven, open-source agentic development environment built on Letta's stateful agent architecture.
## Vision
Build an open-source ADE that combines:
- **Stateful agents** with hierarchical memory (Letta's unique strength)
- **Git-native persistence** with MemFS versioning
- **Persistent task queues** for durable subagent execution
- **Web dashboard** for real-time monitoring and control
- **Computer Use** integration for browser automation
## Differentiation
Unlike commercial alternatives (Warp, Intent), Community ADE is:
- **Open source** and self-hostable
- **Stateful by design** - agents remember across sessions
- **Model agnostic** - use any OpenAI-compatible API
- **Git-native** - version control for agent memory
## Project Structure
```
├── src/ # Queue implementation and worker pool
├── tests/ # Test suite
├── docs/ # Architecture and design documents
├── proto/ # Prototypes and experiments
└── README.md # This file
```
## Documentation
- [Project State](docs/community-ade-project-state.md) - Current status and active subagents
- [Phase 1 Design](docs/ade-phase1-orchestration-design.md) - Task queue architecture
- [Redis Queue Design](docs/ade-redis-queue-design.md) - Detailed Redis implementation spec
- [Research Synthesis](docs/community-ade-research-synthesis-2026-03-18.md) - Competitive analysis
## Phase 1: Orchestration Layer (In Progress)
Goals:
1. ✅ Research and design complete
2. 🔄 Redis task queue implementation
3. ⏳ Worker pool with heartbeat
4. ⏳ Integration with Letta Task tool
## Quick Start
Coming soon - queue prototype implementation.
## License
MIT - Community contribution welcome.
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*Project orchestrated by Ani, with research and design by specialized subagents.*