Browse 14 tools for your AI coding workflow.
An MCP server that transforms large codebases into searchable, hierarchical feature graphs using RAG, AST, and spectral clustering.
Build stateful, multi-actor AI agents with graph-based workflows. From LangChain, the most popular LLM framework.
Local-only Go static analysis engine with MCP server for AI coding agents.
Semantic code intelligence MCP server that cuts AI token usage by ~94% with pre-computed knowledge graphs.
Local code intelligence MCP server and CLI for AI coding agents, providing semantic search and call graph analysis.
Persistent architectural memory for AI coding agents via knowledge graphs and living specs.
High-performance code graph engine that indexes repos and exposes them via CLI, MCP, and API, cutting token usage up to 50x.
Deep code indexing MCP server for AI agents with hybrid FTS5 + embedding search, call graphs, and multi-repo workspaces.
Semantic code graph builder with 45 MCP tools, VS Code extension, and persistent memory for AI agents.
A browser extension and MCP server that captures live web pages as structured, agent-ready UI context for AI coding assistants.
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
CodeGraph transforms codebases into semantic knowledge graphs for AI agents to reason about.
Automate technical documentation generation and maintenance for any codebase using AST parsing and dependency graphs.
Builds a knowledge graph from any codebase with 14 LLM backends, impact analysis, and architecture-aware reasoning.
