Does this skill support async Python frameworks like FastAPI?

Yes, the skill is designed to detect your framework and implement the appropriate client, supporting both synchronous usage for Django/Flask and the .aio namespace for asynchronous frameworks like FastAPI.

What is Honcho and why should I integrate it?

Honcho is an open-source memory library that processes conversation history to build rich, reasoned representations of participants. Integrating it allows your AI agents to 'remember' user preferences and technical levels across different sessions.

Can I use Honcho as a tool for my existing agent loop?

Absolutely. One of the primary integration patterns this skill implements is the 'Dialectic Chat' as a tool call, allowing your agent to query Honcho for user context on-demand via function calling.

How does Honcho handle AI assistant messages versus user messages?

Honcho uses 'Peers' to represent participants. This skill helps you configure AI peers with 'observe_me=False' so the system builds models of your users without unnecessarily modeling the AI assistant's own behavior.

Honcho Integration

Name: Honcho Integration
Author: plastic-labs

byplastic-labs

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Data Science & ML

Integrates Honcho persistent memory and social cognition into Python or TypeScript codebases to build stateful AI agents.

The Honcho Integration skill empowers developers to build stateful AI agents by seamlessly embedding Honcho's open-source memory library into existing projects. It automates codebase exploration to identify entity structures and message flows, then guides the implementation of sophisticated memory patterns such as Peers, Sessions, and Dialectic Chat. By using this skill, you can ensure your AI agents maintain grounded, reasoned representations of users over time, supporting both synchronous and asynchronous workflows across various frameworks like FastAPI, Express, and specialized bot libraries.

Key Features

01Automatic codebase exploration to detect LLM integrations and entity structures

02Guided configuration of Honcho Peers with specific observation settings for users vs. AI

03Implementation of 'Dialectic Chat' as a tool call for on-demand context retrieval

04Standardized session management for multi-participant conversation tracking

052 GitHub stars

06Support for both Python (sync/async) and TypeScript SDK environments

Use Cases

01Adding persistent user memory and cross-session learning to a stateless chatbot

02Implementing multi-agent systems where agents reason about user preferences and goals

03Structuring complex conversation history into reasoned context for LLM prompts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plastic-labs/cursor-honcho integrate

For use in Claude.ai and ChatGPT

Download Skill