The real catalog of tools for AI agents

Graph-powered code intelligence with semantic search and knowledge graph for AI assistants

Local dependency graph: callers, entry points and file:line evidence for what a change affects.

Architecture guardrails for AI-written code: dependency graph, impact, dead code, CI gate

Code knowledge graph over MCP: token-budgeted context for AI coding agents.

Token-efficient code review knowledge graph: semantic search and call-graph resolution.

Token-efficient code review knowledge graph: semantic search and call-graph resolution.

Local multi-repo code graph over MCP. Blast radius, call graphs, and memory anchored to code.

Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.

Persistent, evidence-backed code graph for coding agents.

Generate software diagrams from natural language, code, ASCII, images, Mermaid.

AI-powered code indexer with semantic search and knowledge graphs

Codebase analysis: dependency graphs, security scanning, and refactor plans for GitHub and GitLab.

Ranked local code-graph context for AI coding agents. Intercepts reads + greps. Apache-2.0.

Intelligent code knowledge graph for AI coding agents — 71% cheaper, 72% faster

Code graph for AI agents: impact analysis and call tracing for Python, TypeScript and Go.

Code graph for coding agents: symbol search, callers, blast radius and cross-service impact.

Code graph and project memory for coding agents, cited to exact files and lines, on your machine.

Cross-repository semantic code intelligence for AI coding agents, from a local code graph.

Domain-blind code graphs for AI agents: symbols, calls, blast radius, proof-checked snapshots.

AI-powered codebase analysis — call graphs, security, dead code, complexity. 150+ tools.