Tanstack Ai Memory Honcho

OrganizationPopular

TanStack

tanstack-ai-memory-honcho

Use when wiring honcho() from @tanstack/ai-memory/honcho — a hosted memory adapter where recall is a dialectic answer over the user's representation (no discrete fragments). Requires the optional @honcho-ai/sdk peer.

Overview

Publisher	TanStack
Repository	`ai`
Skill name	`tanstack-ai-memory-honcho`
Stars	3.1K
Forks	330
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by TanStack on GitHub. Read the source before you install it.

Installation

Install the Tanstack Ai Memory Honcho AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/TanStack/ai.git /tmp/ai
mkdir -p .claude/skills
cp -r /tmp/ai/packages/ai-memory/skills/tanstack-ai-memory-honcho .claude/skills/tanstack-ai-memory-honcho

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tanstack Ai Memory Honcho in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tanstack Ai Memory Honcho on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tanstack Ai Memory Honcho is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Honcho Memory Adapter

Hosted recall/save adapter backed by Honcho. Honcho models memory as peers exchanging messages in a session; recall returns a synthesized dialectic answer over the user peer's representation (so there are no discrete fragments), and save appends the turn's messages to the session.

Setup

ts
import { memoryMiddleware } from '@tanstack/ai-memory'
import { honcho } from '@tanstack/ai-memory/honcho'

// Build per request from the server-validated session — never from req.body.
function memoryFor(session: { userId: string; threadId: string }) {
  const memory = honcho({ user: session.userId }) // baseURL defaults to HONCHO_URL

  return memoryMiddleware({
    adapter: memory,
    scope: { threadId: session.threadId, userId: session.userId },
  })
}

@honcho-ai/sdk is an optional peer dependency, loaded lazily on first use — install it where you use honcho().

Options

user — user peer id (falls back to scope.userId, then 'demo-user').
baseURL — Honcho server URL (default HONCHO_URL or http://localhost:8001).
workspaceId — default HONCHO_APP_NAME or 'ai-memory'.
apiKey — default HONCHO_API_KEY.
assistantId — assistant peer id (default 'assistant').

Scope fields: session key = {tenantId|_}__{threadId}; peer id is {tenantId}__{user} when tenantId is set, otherwise user / scope.userId. namespace is ignored.

recall calls the user peer's dialectic chat() and injects the answer as the system prompt; Honcho exposes no LLM tools.

Frequently asked questions

What does the Tanstack Ai Memory Honcho AI skill do?

Why use Tanstack Ai Memory Honcho on TypingMind?

Because you install it once and use it with any model. Tanstack Ai Memory Honcho is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tanstack Ai Memory Honcho in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tanstack Ai Memory Honcho?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tanstack Ai Memory Honcho?

As many as you like. As long as a model supports skills, you can use Tanstack Ai Memory Honcho with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tanstack Ai Memory Honcho AI skill free?

Yes. It is published on GitHub by TanStack under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Receiving Code Review

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CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

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CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Honcho Memory Adapter

Setup

Options

Frequently asked questions

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