#tree-sitter

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

Python bindings to the Tree-sitter parsing library

Опис репозиторію не опубліковано.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 commands, 224 MCP tools, change-safety gates, audit evidence, zero API keys.

IDE-style navigation for structured data — code, JSON, YAML. Jump to definitions, find callers, follow references. Available as an MCP server or a mounted folder.

Scala grammar for tree-sitter

Semantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

Comprehensive tree-sitter grammar compilation with polyglot bindings — Rust, Python, Node.js, Go, Java, Ruby, Elixir, PHP, C#, WASM, Dart, Kotlin-Android, Swift, Zig, and CLI. 371 languages.

CFML grammar for Tree-sitter (forked from tree-sitter-html)

Your entire engineering context, deeply understood

The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.

F# grammar for treesitter

Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.

Syntax Highlighter powered by Tree-sitter and Neovim themes.

Pure Go tree-sitter runtime

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

The most comprehensive code intelligence MCP server for AI coding agents. 40+ tools, 30+ languages, 9 agent integrations. Pre-indexed semantic knowledge graphs for instant code understanding — fewer tokens, fewer tool calls, 100% local.

Tree-sitter grammar for Apache Groovy

Markdown for Elixir. Fast, Extensible, Phoenix-native. AI-ready. Built on top of comrak, ammonia, and lumis.

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

C# Grammar for tree-sitter

MATLAB tree-sitter parser

Опис репозиторію не опубліковано.

Vim engine, rope buffer, and modal editor primitives. Pre-release; see MIGRATION.md.