Semble is a fast, CPU-only code search library by MinishLab designed specifically for AI agents. It efficiently retrieves relevant code snippets via natural language queries, reducing token usage by ~98% compared to traditional grep-and-read methods. Requiring no API keys, GPUs, or external services, it indexes and queries codebases locally in milliseconds, achieving near-transformer retrieval accuracy. It functions seamlessly as an MCP server for instant integration with Claude Code, Cursor, and other agent workflows.
Honcho by plastic-labs is an innovative open-source memory library and managed service, purpose-built for developing stateful AI agents. It offers unparalleled compatibility across models, frameworks, and architectures, enabling agents to build and persistently maintain dynamic state for users, other agents, groups, and more. As a continual learning system, Honcho intelligently adapts to evolving entities over time, significantly boosting agent retention and user trust. Its core capabilities include robust application workflow management, comprehensive interaction history storage, and advanced reasoning to guide agent behavior. With intuitive natural language querying, sophisticated session context management, and efficient message search, Honcho empowers developers to create highly intelligent chatbots and deliver deeply personalized agent experiences.