A developer spent eight months and 883 commits building an LLM agent harness, which they have now abandoned. The project aimed to create a more robust system where the LLM acts as a replaceable worker, with the harness managing planning, state, and verification. However, the project grew into an overengineered mess with numerous added features like RAG, model routing, and sandboxing, leading the developer to abandon it as a product. The code and research documents are being open-sourced, with the hope that others might find useful ideas within the project, particularly regarding state management, deterministic runs, and orchestrator/worker separation. AI
IMPACT Offers insights into agent harness architecture and potential pitfalls in development.
RANK_REASON Developer's personal project abandonment and open-sourcing of code.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
