by intuit · Agent Tool · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
cargo install infigraph-cli infigraph-mcp
git clone https://github.com/intuit/infigraph.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 91 |
| Forks | 17 |
| Language | Rust |
| Category | Agent Tool |
| Quality Score | 67/100 |
| Open Issues | 30 |
| Last Updated | 2026-10-02 |
| Created | 2026-05-14 |
| Platforms | rust |
| Est. Tokens | ~34k |
Infigraph AST-powered code intelligence engine. Indexes codebases into a persistent knowledge graph with full Cypher queries, hybrid semantic search, cross-file call resolution, and 62 programming languages. Built in Rust. Zero LLM dependency. Runs locally. No API keys. No network calls.
These tools work well together with infigraph for enhanced workflows:
Looking for a infigraph alternative? If you're comparing infigraph with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Architecture intelligence for AI coding agents - deterministic, cross-repository code analysis through MCP.
Persistent memory for AI coding agents
Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures groundi
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vect
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: