ce8dd84840
- Omega (Kimi-K2.5): Approval system architecture - design.md: Full system architecture with state machines - api-spec.ts: Express routes + Zod schemas (33KB) - redis-schema.md: Redis key patterns (19KB) - ui-components.md: Dashboard UI specs (31KB) - Epsilon (Nemotron-3-super): Agent configuration UI - AgentWizard: 5-step creation flow - AgentConfigPanel: Parameter tuning - AgentCard: Health monitoring - AgentList: List/grid views - hooks/useAgents.ts: WebSocket integration - types/agent.ts: TypeScript definitions Total: 150KB new code, 22 components 👾 Generated with [Letta Code](https://letta.com)
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 - Current status and active subagents
- Phase 1 Design - Task queue architecture
- Redis Queue Design - Detailed Redis implementation spec
- Research Synthesis - Competitive analysis
Phase 1: Orchestration Layer (In Progress)
Goals:
- ✅ Research and design complete
- 🔄 Redis task queue implementation
- ⏳ Worker pool with heartbeat
- ⏳ Integration with Letta Task tool
Quick Start
Coming soon - queue prototype implementation.
License
MIT - Community contribution welcome.
Project orchestrated by Ani, with research and design by specialized subagents.