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Semantic Search & Call Graphs for AI Agents (100% Local)
*Search code by meaning, not just text.** Documentation · Installation · Quick Start grepai is a privacy-first CLI for semantic code search. It uses vector embeddings to understand code meaning, enabling natural language queries that find relevant code—even when naming conventions vary. *Drastically reduces AI agent input tokens** by providing relevant context instead of raw search results. Search by intent — Ask "authentication logic" and find handleUserSession Trace call graphs — Know who calls a function before you change it 100% local — Your code never leaves your machine Always up-to-date…
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.
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Reverse engineer anything with agents, from app behavior down to native binaries.
Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 900+ contributors
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
