mcpbeat

Hivemind Graph

activeloopai/hivemind-openclaw-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).

735 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1529
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/activeloopai/hivemind --skill hivemind-graph

The instruction itself

6 sections, as written by the author

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

  • Broad structural question? hivemind_graph_search({ pattern: "<symbol>" }).
  • Know the file? hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" }).
  • 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.

How to use it

Copy the folder

Take activeloopai/hivemind-openclaw-hivemind-graph from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.