{"repo":"anthroos/openexp","free":true,"listed":false,"github":"https://github.com/anthroos/openexp","clone":"git clone https://github.com/anthroos/openexp.git","description":"Outsource your understanding. Capture every human-AI decision as a step in a trajectory; grade trajectories retroactively when outcomes land (deal closed, sprint shipped). Hooks + MCP server for Claude Code, Qdrant + FastEmbed local-first.","language":"Python","stars":58,"topics":["ai-agents","claude","claude-code","episodic-memory","llm-tools","mcp","memory","qdrant","trajectory","decision-extraction"],"license":"MIT","category":"mcp-servers","readme_excerpt":"OpenExp How did this happen? — a hippocampus for AI agents. Capture trajectories raw. Grade only when reality returns its verdict. Build a labeled corpus of human-AI decisions tied to grounded outcomes. Quick Start · How It Works · Pipeline · Publish · MCP Tools · Status --- Quick Start That installs the four hooks into Claude Code, brings up Qdrant in Docker, and registers the MCP server. Prerequisites: Python 3.11+, Docker, jq. No API key required for core functionality. Embeddings run locally via FastEmbed. An Anthropic API key is optional and only powers the two-prompt pipeline (anonymize + extract experience) when you publish. To install the seed pack (a real 57-day B2B sales arc, anonymized) and try retrieval against a worked example, see exp-inbound-acquisition-with-free-pilot — install instructions in its README. --- The Question When you close a deal, ship a feature, or lose a client — how did it happen ? Which decisions, in what order, against which context, on which hypotheses? Today's AI agents can't answer that. They follow skills and instructions perfectly, but they don't accumulate grounded knowledge about how outcomes actually arrived. OpenExp captures every human-AI decision as a step in a trajectory, links those steps into coherent journeys, and grades each journey retroactively when reality returns its verdict — a deal closes, a sprint ships, a payment lands. The result is a continuously growing labeled dataset of decision","default_branch":null,"files":null,"tree":[],"storefront":"/r/anthroos","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/anthroos/openexp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}