honcho-integration

Integrate Honcho memory and social cognition into Python or TypeScript projects.

6.5k|796|Updated Sep 10, 2023

Search Tags:#context #integration #sdk #session #peer

Ready to run

npx skills add https://github.com/plastic-labs/honcho --skill honcho-integration

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: honcho-integration
Source: https://github.com/plastic-labs/honcho/tree/main/docs
Command: npx skills add https://github.com/plastic-labs/honcho --skill honcho-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Honcho integration docs help developers bring memory and social cognition into Python or TypeScript apps, enabling richer agent behavior and easier onboarding.

Core Features & Use Cases

Comprehensive integration workflow covering discovery, interview, implementation, and verification.
Language-agnostic patterns with Python and TypeScript examples for workspaces, peers, sessions, and the dialectic chat endpoint.
Ready-to-use guidance to accelerate adding the Honcho SDK and building stateful agents in real-world applications.

Quick Start

Install the Honcho SDK and begin integrating in your codebase using the docs. For example, install Python or TypeScript SDKs and follow the setup steps in the docs.

Frequently Asked Questions about honcho-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I integrate agent memory and social cognition into a Python or TypeScript app?▼

To integrate agent memory, you install the Honcho SDK and follow a stepwise workflow covering discovery, interview, implementation, and verification to wire memory and social cognition directly into your application logic.

What is the best way to add stateful context and sessions to my AI agents?▼

The best way to add stateful context is by using the Honcho SDK to configure workspaces, peers, and sessions, which enables richer agent behavior and persistent memory across real-world applications.

Can I use Honcho to add a dialectic chat endpoint to existing AI agents?▼

Yes, you can use the Honcho SDK to enable a dialectic chat endpoint for AI agents, applying language-agnostic patterns with ready-to-use Python and TypeScript examples to accelerate onboarding.

Does the Honcho integration workflow support both Python and TypeScript SDKs?▼

Yes, the Honcho integration workflow supports both Python and TypeScript SDKs, providing language-agnostic patterns and examples for configuring workspaces, peers, and sessions across your projects.

How does adding memory and social cognition improve AI agent onboarding and behavior?▼

Adding memory and social cognition enables richer agent behavior and easier onboarding by allowing agents to maintain context across sessions, resulting in more natural and stateful user interactions.

What are the steps to configure peers and sessions when integrating Honcho memory?▼

Configuring peers and sessions follows a stepwise workflow of discovery, interview, implementation, and verification using the provided docs and tooling to ensure memory is correctly wired into your application.