Show HN: Honcho – Open-source memory infrastructure, powered by custom models (github.com)

Honcho, an open-source memory infrastructure, has been introduced to the AI community, providing a versatile memory library for building stateful agents that can interact with various data entities such as users and ideas. The library supports integration with any model, framework, or architecture, enabling continual learning about these entities as their characteristics evolve. This capability is expected to enhance user retention and trust, creating a competitive advantage for developers in the growing AI landscape. The core of Honcho is a FastAPI server that manages state storage and agent interactions through SDKs designed for both Python and TypeScript. Developers can easily set up workflows, maintain interaction history, and leverage built-in reasoning for agent behavior. Key functionalities include natural language querying about users, session context continuation with large language models (LLMs), and efficient message searching. Honcho's architecture emphasizes flexibility, as it can be self-hosted or accessed via a managed service. By aggregating memory capabilities, Honcho promises to optimize the performance of AI agents, potentially transforming how they learn and evolve over time.