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Hivemind Graph

OrganizationPopular
activeloopai
hivemind-graph

Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).

Overview

Publisheractiveloopai
Repositoryhivemind
Skill namehivemind-graph
Stars
1.6K
Forks
107
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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 activeloopai on GitHub. Read the source before you install it.

Installation

Install the Hivemind Graph AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/activeloopai/hivemind.git /tmp/hivemind
mkdir -p .claude/skills
cp -r /tmp/hivemind/harnesses/openclaw/skills/hivemind-graph .claude/skills/hivemind-graph
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hivemind Graph 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 Hivemind Graph 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 Hivemind Graph 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.

Hivemind Code Graph (OpenClaw)

A deterministic, AST-derived map of the current repository — every function, class, method, interface, type, enum, const, and module, plus the edges between them (calls, imports, extends, implements, method_of).

The graph builds and refreshes automatically after each turn (gated by rate limit + git diff). You never run a build command — just call the graph tools.

Set plugins.entries.hivemind.config.tuning.HIVEMIND_GRAPH_CWD in ~/.openclaw/openclaw.json to the git root of the project you want indexed when the gateway's working directory is not the repo (then restart the gateway).

Use the graph as a fast INDEX to locate the few files/symbols that matter, then use the host's read/exec tools on the real source. It is not a substitute for reading source files.

When to use this skill

Activate when the user asks a structural / relational question about the code:

  • "What calls pushSnapshot?" / "Who uses this function?"
  • "What does deeplake-pull.ts import?" / "What depends on X?"
  • "Where is GraphSnapshot defined?" / "Find the function that handles Y."
  • "What are the main subsystems / the architecture here?"
  • "If I change this signature, what's affected?"

Tools

  • hivemind_graph_search({ pattern }) — search symbols by substring (or multi-token AND with +, e.g. auth+handler). Returns matches with 1-hop neighbors (callers, callees, imports). Start here.
  • hivemind_graph_neighborhood({ file }) — every symbol in a repo-relative file path plus its cross-file neighbors.

Workflow

  1. Broad structural question? hivemind_graph_search({ pattern: "<symbol>" }).
  2. Know the file? hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" }).
  3. Need the actual code? Open the source_file:line from the tool output with the host read tool — don't answer from the graph alone.

When NOT to use this skill

  • Reading the body of a symbol you already located → use the host read tool.
  • Code that isn't committed/built yet — the graph can lag uncommitted edits.
  • Languages outside TypeScript, JavaScript, and Python — fall back to grep.

Anti-patterns

  • Zero incoming callers does NOT mean dead code. Instance-method dispatch and dynamic calls are not fully resolved.
  • The graph can be stale. Prefer live source for files edited in this session.
  • pattern is lexical, not semantic — try multiple keywords if the first misses.

Frequently asked questions

What does the Hivemind Graph AI skill do?

Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).

Why use Hivemind Graph on TypingMind?

Because you install it once and use it with any model. Hivemind Graph 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 Hivemind Graph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/activeloopai/hivemind/tree/main/harnesses/openclaw/skills/hivemind-graph. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hivemind Graph?

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 Hivemind Graph?

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

Is the Hivemind Graph AI skill free?

Yes. It is published on GitHub by activeloopai under the Apache-2.0 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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