Building at the intersection of human & machine learning.
Plastic Labs publishes skills for building and maintaining Honcho, its memory system for AI agents, covering how agents record and recall user context across sessions, integrate Honcho into Python or TypeScript codebases, and inspect peer representations and session state through the CLI. Its skills also guide agents through verifying changes against the running HTTP API and deriver queue, and preparing pull requests for the Honcho repository.
Honcho
6 skills · 7,981 stars · AGPL-3.0
Honcho Cli Inspect and debug Honcho workspaces via the `honcho` CLI.
Honcho Integration Integrate Honcho memory into existing Python or TypeScript codebases.
Honcho Memory Gives AI agents persistent memory across conversations using Honcho.
Honcho Memory Concepts and strategy for using a connected Honcho as persistent memory of the user — the recall/…
Pre Pr Prepare a Honcho change for a pull request to plastic-labs/honcho.
Verify Build, launch, and drive a local Honcho stack to verify a change at its runtime surface (the /v3…