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LangChain releases OpenWiki for evidence-grounded agent memory
LangChain details how OpenWiki and evidence graphs improve AI agent memory, accuracy, and citation consistency across complex sources.
Summary
LangChain details how OpenWiki, an open-source wiki compiler built on Deep Agents, helps AI agents reason across multiple documents. By compiling source material into linked pages and adding a lightweight evidence graph with typed edges, agents achieved higher accuracy and lower costs on complex cross-source tasks compared to search alone.
What changed
- OpenWiki compiles document libraries into a wiki to provide persistent memory for AI agents.
- Adding an evidence graph with typed edges connects wiki statements to supporting passages.
- Two new tools, locate and expand, let agents navigate the evidence map to supporting passages and related documents.
Availability
Available now“We tested OpenWiki , our open-source wiki compiler, as this memory layer.”
Founder takeaway
Small teams building multi-document AI agents should consider compiled wikis and evidence graphs to improve cross-source reasoning accuracy and lower operating costs.
Source
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