code-context-engine
Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.
Code Context Engine (CCE) indexes your codebase using tree-sitter parsing and vector embeddings, allowing AI coding agents to search for relevant code instead of re-reading entire files. It saves up to 94% input tokens, works across multiple editors (Claude Code, VS Code, Cursor, Gemini CLI, Codex CLI), and runs entirely locally for privacy. With built-in compression, graph expansion, and cross-session memory, CCE reduces costs and speeds up responses.
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- AAspen PatelMay 3, 2026
94% token savings by indexing your codebase so agents search instead of reading everything.
- AAspen MartinezMar 29, 2026
Good for large codebase workflows where reading full files consumes too much context.
- KKai MartinezMar 8, 2026
Index-and-search is the right architecture for AI coding assistants at scale.
- HHayden WhiteFeb 26, 2026
Works with AI coding agents as a drop-in context optimization layer.