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AI agent tools for tree sitter

Short answer: Our top pick for tree sitter: code-review-graph, with the highest AgentPick Score (82/100) among tools tagged "tree-sitter". Runners-up: sem (73) and chunkhound (66). Compare what each does, its license and how recently it was updated below.
#ToolWhat it doesScoreStarsLicenseUpdated
#1code-review-graphLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmar…82/100★ 32kMIT6 Oct 2026
#2semSemantic version control => entity-level diffs, blame, and impact analysis on top of git. 28 languages via tree-sitter. Built for coding agents.73/100★ 3.4kApache-2.013 Oct 2026
#3chunkhoundYour entire engineering context, deeply understood66/100★ 1.4kMIT14 Oct 2026
#4weaveEntity-level git merge driver. Resolves false conflicts git invents when independent agents edit the same file. ~95% reduction vs. line-based merge.64/100★ 1.3kApache-2.010 Oct 2026
#5tilthSmart code reading for humans and AI agents. Definitions, callers, dependencies and function-level diffs from tree-sitter. One binary, no index. MCP s…63/100★ 354MIT10 Oct 2026
#6probeAI-friendly semantic code search engine for large codebases. Combines ripgrep speed with tree-sitter AST parsing. Powers AI coding assistants with pre…62/100★ 727Apache-2.01 Oct 2026
#7CorbellAI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.33/100★ 630Apache-2.023 May 2026
#8axonGraph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.30/100★ 814See repo3 Aug 2026

Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.

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