Self-improvement
LoopForge
Self-improving agents — fix real repos and open GitHub PRs.
Agent → Harness → Loops → Memory. LangGraph coding loop (Orchestrator · Review · Quality), ODAEU RAG tuning, and repo fix workflow: clone → pytest → patch → branch → PR — never pushes to main.
In one sentence
Self-improving agents — clone repos, run pytest, patch, and open PRs.
Decision
Harness + eval loops over bigger prompts — ODAEU tunes RAG on failure.
Measured signal
repo_fix suite in golden-eval-registry · never pushes to main.
Honest limitation
Requires GitHub token for repo fix loop; Groq API for agent inference.
- Repo fix loop: clone GitHub repo, run pytest, apply patches, open PR
- LangGraph agents: Orchestrator, Coding, Review, Quality, Memory, Self-improve
- ODAEU harness tunes hybrid RAG on eval failure + procedural memory
- Live API on Render · demo UI on Vercel · Groq + GitHub token
Architecture diagram
Python · LangGraph · FastAPI · MCP · Vercel · Render