Hivemind Graph

Hivemind Graph is a Quality skill for Claude Code, published by activeloopai in hivemind.

1.6K stars101 forkson activeloopai/hivemindAdded 2026/08/19+1% in starsRepository updated 2026/08/14

aiai-agentsai-memoryanthropicartificial-intelligenceclaudeclaude-agent-sdkclaude-agentsclaude-code-pluginclaude-skillscodexembeddingslong-term-memorymemory-engineopenclawopenclaw-skillspostgresrag

Install in seconds

Install Hivemind Graph

Copy Hivemind Graph into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/activeloopai/hivemind/tree/main/harnesses/codex/skills/hivemind-graph ~/.claude/skills/hivemind-graph

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/activeloopai/hivemind.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: harnesses/codex/skills/hivemind-graph/SKILL.md in activeloopai/hivemind
Installs to: ~/.claude/skills/hivemind-graph
Collection: One of 10 skills cataloged from this repository
Category: Quality — 1354 skills

What Hivemind Graph does

Hivemind Graph queries a local AST-derived code graph (functions, classes, calls, imports) through a Deeplake mount. Use it for structural questions like "what calls X?", "where is Z defined?", or to trace dependency paths and impact before changing a signature.

Hivemind Graph is cataloged under Quality on DirSkills. Hivemind Graph comes from a repository tagged ai, ai-agents, ai-memory, anthropic and artificial-intelligence.

Documentation

README

Excerpt

Hivemind Code Graph

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). It is queried as synthesized files under the Deeplake mount; there are no real files on disk and no network call in the read path.

The graph builds and refreshes automatically (on Stop / SessionEnd, gated by a rate limit + git diff). You never run a build command — just read it.

Use it as a fast INDEX to locate the few files/symbols that matter, then open them with Read to answer. It is not a substitute for the source.

When to use this skill

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Hivemind Graph

What else does activeloopai publish alongside Hivemind Graph?
Hivemind Graph is one of 10 skills that DirSkills catalogs from activeloopai/hivemind, the repository it ships in. Its siblings there include Hivemind, Hivemind Code Graph and Hivemind Goals. Each one is a separate skill with its own page in this directory, installs the same way Hivemind Graph does, and is maintained by activeloopai in that same repository. The rest of the collection is listed on the activeloopai/hivemind page.
How does Hivemind Graph compare to other Quality skills?
Hivemind Graph ranks #638 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Hivemind Graph against them. Open each page to compare what they document and how they install.