Build Agent
chmonitor/chmonitor
Build an AI-agent application end-to-end — from an empty repo or an existing codebase.
A skill your agent uses 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).
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TanStack/ai tanstack-ai-memory-honcho --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .claude/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .claude/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honchoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TanStack/ai tanstack-ai-memory-honcho --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .agents/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .agents/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TanStack/ai tanstack-ai-memory-honcho --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .cursor/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .cursor/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/TanStack/ai.git --path packages/ai-memory/skills/tanstack-ai-memory-honcho--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TanStack/ai tanstack-ai-memory-honcho --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .gemini/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .gemini/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install TanStack/ai tanstack-ai-memory-honchoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .github/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .github/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TanStack/ai tanstack-ai-memory-honcho --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TanStack/ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/ai-memory/skills/tanstack-ai-memory-honcho .opencode/skills/tanstack-ai-memory-honcho && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tanstack-ai-memory-honcho" agent skill from https://github.com/TanStack/ai/tree/main/packages/ai-memory/skills/tanstack-ai-memory-honcho into .opencode/skills/tanstack-ai-memory-honcho/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tanstack-ai-memory-honcho", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tanstack-ai-memory-honchoA skill your agent uses 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).
Tanstack AI Memory Honcho is an agent skill from TanStack/ai. 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.
Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. It works with TanStack and Vercel AI SDK. The repository describes itself as: 🤖 Type-safe, provider-agnostic TypeScript AI SDK for streaming chat, tool calling, agents, and multimodal apps across OpenAI, Anthropic, Gemini, React, Vue, Svelte, and Solid. The licence is MIT.
Read from SKILL.md and the folder at commit 5a41239. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HONCHO_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tanstack AI Memory Honcho loads about 457 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 135 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from TanStack/ai at commit 5a41239, republished under its MIT licence (© TanStack). 135 words, ~457 tokens.
.claude/skills/tanstack-ai-memory-honcho/SKILL.md (or your agent's skills folder).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.
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().
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.
© TanStack, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in packages/ai-memory/skills/tanstack-ai-memory-honcho of TanStack/ai.
Open the folder on GitHubat commit 5a41239
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in TanStack/ai, which our catalogue first saw on October 7, 2026.
Tanstack AI Memory Honcho next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tanstack AI Memory Honcho this skillTanStack/ai | 3.2k | 1 repos | ~457 | Automated safety check: Pass | MIT | |
| Build Agentchmonitor/chmonitor | 298 | — | ~1.8k | Automated safety check: Pass | GPL-3.0 | |
| AI SDKvercel-labs/ai-facts | 168 | 21 repos | ~1.2k | Automated safety check: Pass | None | |
| Mem0 Provider for Vercel AI SDKmem0ai/mem0 | 67k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Claude APIKocoro-lab/Kocoro | 414 | 8 repos | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence |
chmonitor/chmonitor
Build an AI-agent application end-to-end — from an empty repo or an existing codebase.
vercel-labs/ai-facts
Answer questions about the AI SDK and help build AI-powered features.
mem0ai/mem0
Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.
Kocoro-lab/Kocoro
Build apps with the Claude API or Anthropic SDK. An agent skill from Kocoro-lab/Kocoro.
FailproofAI/failproofai
Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.
trypostit/trypost
TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK.
TanStack/ai
A skill your agent uses when the user invokes /i-have-adhd, says they have ADHD, or asks for ADHD-friendly output.
TanStack/ai
Sweep open (or listed) PRs with up to 100 parallel agents: security-scan outside contributors, rebase onto main when behind (push --force-with-lease), approve pending first-time-contributor CI when…
TanStack/ai
A skill your agent uses when wiring inMemory() from @tanstack/ai-memory/in-memory — explains setup, options (embedder, extract, topK/minScore), when to pick it (dev/tests/single-process demos), and…
TanStack/ai
A skill your agent uses when wiring redis() from @tanstack/ai-memory/redis in production — covers client setup (ioredis or node-redis via fromNodeRedis), the storage model, client-side ranking…
TanStack/ai
A skill your agent uses when adding a public teaching example or a docs tutorial.
TanStack/ai
Durability and state persistence for TanStack AI chats with @tanstack/ai-persistence.
Works with
Categories
A skill your agent uses 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). Tanstack AI Memory Honcho is an agent skill from TanStack/ai. 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).
Tanstack AI Memory Honcho fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a claude-code`. Or copy the skill folder (packages/ai-memory/skills/tanstack-ai-memory-honcho in TanStack/ai) into .claude/skills/tanstack-ai-memory-honcho in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a codex`. Or copy the skill folder (packages/ai-memory/skills/tanstack-ai-memory-honcho in TanStack/ai) into .agents/skills/tanstack-ai-memory-honcho in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TanStack/ai --skill tanstack-ai-memory-honcho -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tanstack-ai-memory-honcho, .gemini/skills/tanstack-ai-memory-honcho, .github/skills/tanstack-ai-memory-honcho and .opencode/skills/tanstack-ai-memory-honcho in your project.
Going by SKILL.md and its folder, Tanstack AI Memory Honcho needs credentials named HONCHO_API_KEY. Our summary lists: A credential in HONCHO_API_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Tanstack AI Memory Honcho is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 457 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tanstack AI Memory Honcho: Build Agent (chmonitor/chmonitor, 298 stars), AI SDK (vercel-labs/ai-facts, 168 stars), Mem0 Provider for Vercel AI SDK (mem0ai/mem0, 67k stars) and Claude API (Kocoro-lab/Kocoro, 414 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
TanStack (a GitHub organization) maintains it in TanStack/ai, which has 3,169 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.
Source: TanStack/ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.