#code-intelligence
GitHub Topic「code-intelligence」がついているAI関連リポジトリの集計。Topicはリポジトリ作者が自己申告するメタタグで、AI関連の文脈で何が「code-intelligence」と分類されているかを可視化します。
REPOS #code-intelligence のRepo (TOP 10 / Stars降順)
Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.
hunhee98/pluckMCP-native code retrieval for AI agents — 84-88% fewer read tokens, BM25F + semantic search, AST chunks, session dedup
yinshaojun001/projectbrain为 AI 编程智能体提供本地项目记忆层 | Project memory layer for AI coding agents
Celmis-labs/CelmisSelf-hosted. Your monitoring already told you something broke — Celmis is what happens next: it knows which repository the alert belongs to, and an embedded Claude Code session on your own subscription fixes it and opens a pull request. One symbol graph also answers cross-repo questions, reviews PRs, and exports a CycloneDX SBOM. AGPL-3.0.
tensilestream/buildanchorLocal-first Build Truth & verification layer for AI coding agents. Stops hallucinations, cuts token costs by 90%, and fixes monorepo test failures for Claude, Cursor, Aider, & Copilot.
api-evangelist/sourcegraphSourcegraph — independent third-party profile of a public API surface, by API Evangelist. Sourcegraph is a code intelligence platform that lets developers and AI agents search, navigate, understand, and modify code across very large, multi-repo codebases. The platform pairs classic code search and code intelligence (jump-to-definition, references,
oberon-systems/enggraphEngineering Graph for AI coding agents. Code intelligence, persistent memory, plans and multi-project context over MCP.
bastian-seifert/arminMiddleware to ensure agents memorize decisions
thisisvaishnav/guardGraph-powered safety layer for AI coding agents built on FalkorDB. Fast test selection, verified trust scoring, and loop guardrails.
paladini/locus-mcpAgent-first MCP server for LSP-based code intelligence
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#claude-code
2,815#ai-agents
2,183#llm
1,690#claude
1,475#mcp
1,359#python
1,349#developer-tools
1,231#ai
1,028#codex
996集計対象: 各Repoの最新contentスナップショットの topics_json に小文字一致でマッチしたもの。 算出方法