plastic-labs/honcho
Memory infrastructure for building stateful AI agents with vector storage, retrieval, and context management.

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Honcho is a memory library that provides persistent memory infrastructure for AI agents and multi-agent systems. It stores messages, events, and contextual data while enabling agents to reason about changing people, projects, and ideas over time. The system supports vector database integration for semantic search, natural language querying of stored context, and works with popular frameworks like LangChain and models from OpenAI and Anthropic.