integrate skillB
integrate is agent-read markdown (skill) from plastic-labs/claude-honcho: Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, implementing the dialectic chat endpoint for AI agents, or wiring Honcho into bot frameworks (nanobot, openclaw, picoclaw, etc)..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Honcho Integration Guide
## What is Honcho
Honcho is an open source memory library for building stateful agents. It works with any model, framework, or architecture. You send Honcho the messages from your conversations, and custom reasoning models process them in the background — extracting premises, drawing conclusions, and building rich representations of each participant over time. Your agent can then query those representations on-demand ("What does this user care about?", "How technical is this person?") and get grounded, reasoned answers.
The key mental model: **Peers** are any participant — human or AI. Both are represented the same way. Observation settings (`observe_me`, `observe_others`) control which peers Honcho reasons about. Typically you want Honcho to model your users (`observe_me=True`) but not your AI assistant (`observe_me=False`). **Sessions** scope conversations between peers. **Messages** are the raw data you feed in — Honcho reasons about them asynchronously and stores the results as the peer's **representation**. No messages means no reasoning means no memory.
…Read the whole file at its exact version.
How to install
mdr add plastic-labs/claude-honcho/integrate@git:20260220.80202bfmdr add plastic-labs/claude-honcho/integrate@sha256:abfa83def04b8591Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_evhhimu6q65yiyrd)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260220.80202bf latest | 2026-02-20 | 80202bf | 18,496 B | B | view · diff |
| git:20260203.ab2f56f | 2026-02-03 | ab2f56f | 14,337 B | B | view |
Audit of the latest version
- fail: Frontmatter declares a name
- pass: Frontmatter block present
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18496 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
plastic-labs/claude-honcho · 63 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_evhhimu6q65yiyrd GET https://markdownregistry.com/api/v1/resolve?ref=plastic-labs/claude-honcho/integrate GET https://markdownregistry.com/api/v1/blob/abfa83def04b8591bb4c68475996c2501f47b93046ee4bf88bdb3ce680726ad1
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