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AtlasRepo

plastic-labs/honcho — Memory library for building stateful agents

Description and use

Honcho is an open-source memory library designed to facilitate the development of stateful agents, enabling more efficient and effective AI/ML tasks. Built for simplicity and flexibility, Honcho provides a robust foundation for complex systems, making it an ideal choice for frontend and AI/ML applications. Its modular architecture allows for seamless orchestration and management of stateful components.

Problem

plastic-labs/honcho helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

  • coordinate multi-agent workflows
  • add tool-use pipelines
  • standardize agent memory

Evidence

Memory library for building stateful agents

Source

  • Record date: 2026-09-10T21:07:34.919Z