Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.
Entity-level git merge driver. Resolves false conflicts git invents when independent agents edit the same file. ~95% reduction vs. line-based merge.
Local code intelligence MCP server and CLI for AI coding agents
Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.
Rust MCP server for comprehensive code intelligence - 90 tools, 32 languages, security scanning, call graphs, and more
Local-first code intelligence for AI assistants. Turns your codebase into a knowledge graph your AI can query, navigate, and remember. 25 MCP tools.
multi-depth architecture views for code understanding and generation in extremely fast speed
Semantic code intelligence MCP server for Claude Code - project maps, symbol search, impact analysis, and more
Universal MCP to LSP bridge - expose Language Server Protocol capabilities as MCP tools for AI agents
Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.
The semantic layer for software engineering: Connect code to meaning, build on understanding
MCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
An experimental, 100% AI-generated, high-performance code intelligence server providing AI assistants with a graph-based understanding of codebases.
CodeStory is a codebase grounding engine that preindexes code into a knowledge graph and enriches it with semantic context. Paired with coding agents, it results in fewer tokens, fewer tool calls, and remains 100% local.
Persistent knowledge memory layer for AI agents. Rust, Postgres + pgvector, MCP protocol.
High-performance coding agent toolkit MCP server — IDE-grade code intelligence for LLMs
A local code graph engine for MCP agents: proof-aware state, guided next steps, continuity, and safer edits.
A better grep for AI agents. Structural search, call graphs, impact analysis, semantic compression. 87% fewer tokens. 16 languages. Built in Rust.
Local-first MCP server giving AI coding agents fast, structured, and semantic context over any codebase. Zero config, zero cloud, full context.
A context layer for coding agents — build a code knowledge graph from a real codebase, then measure whether the agent actually uses it. AI Engineer World's Fair 2026 workshop.
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