Librarian – Cut token costs by up to 85% for LangGraph and OpenClaw

Show HN: Librarian – Cut token costs by up to 85% for LangGraph and OpenClaw

Librarian – Cut token costs by up to 85% for LangGraph and OpenClaw is active in the show hn launch space.

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Hi HN,I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn.The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast:Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive.Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency spikes, and reasoning accuracy drops.The standard workaround is vector search (RAG) over past messages, but that completel

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Website: uselibrarian.dev