plastic-labs

Configure Honcho memory plugin settings interactively

Show current Honcho memory status and configuration

Interview the user to capture stable, cross-project preferences and save them to Honcho

First-time Honcho configuration -- set API key, validate connection, create config

Migrates Honcho Python SDK code from v1.6.0 to v2.0.0. Use when upgrading honcho package, fixing breaking changes after upgrade, or when errors mention AsyncHoncho, observations, Representation class, .core property, or get_config methods.

Migrates Honcho TypeScript SDK code from v1.6.0 to v2.0.0. Use when upgrading @honcho-ai/sdk, fixing breaking changes after upgrade, or when errors mention removed APIs like .core, getConfig, observations, or snake_case properties.

Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, or implementing the dialectic chat endpoint for AI agents.

Inspect and debug Honcho workspaces via the `honcho` CLI. Use when investigating peer representations, memory state, session context, or dialectic quality — any task that requires introspection of a Honcho deployment, including verifying that a recall/record…

Prepare a Honcho change for a pull request to plastic-labs/honcho. Invoke before opening a PR, when drafting a PR body, when asked if a branch is PR-ready, or when filling the pull request template. Checks the linked issue, required tests and docs, then…

Concepts and strategy for using a connected Honcho as persistent memory of the user — the recall/record loop and session and peer design. Start here to understand how Honcho memory works, then connect — via a first-class integration for your environment if…

Integrate Honcho memory into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, and accessing Honcho's representation.

Build, launch, and drive a local Honcho stack to verify a change at its runtime surface (the /v3 HTTP API and the deriver queue). Use when verifying a diff or confirming a change works in the running app.

Gives AI agents persistent memory across conversations using Honcho. Automatically saves and retrieves user context so the AI remembers preferences, history, and facts between sessions. Use when you need the AI to remember past conversations, recall what a…

Explore, construct, and speak with identities in an LLM's latent space using YouSim's simulator prompts and its /locate /summon /speak /steer /request command grammar. Runs on the caller's own model - no API key, no network, works offline. Use when asked to…

Install the @honcho-ai/openclaw-honcho plugin and run initial setup. Runs `openclaw plugins install`, `openclaw honcho setup` (which prompts for your API key and migrates any legacy memory files to Honcho), and restarts the gateway. **UPLOADS WORKSPACE…

Persistent cross-session memory via Honcho — recall what you know about the user before working, and save durable insights after.

Persistent cross-session memory via Honcho — recall what you know about the user before working, and save durable insights after.

Install the Honcho Memory extension + plugin into a SillyTavern checkout. Use when installing, re-installing, or troubleshooting the integration — including on a fresh SillyTavern checkout. Safe to re-run; every patch step is idempotent.

Use Honcho long-term memory — recall what the user has said, decided, or preferred in past sessions, and save durable facts worth carrying forward. Use when the user refers to earlier work, asks what you remember, states a lasting preference, or when a task…

Integrate or debug Honcho memory in a Vercel AI SDK app. Use when wiring generateText / streamText calls or triaging a broken Honcho integration.