Dev Context Engine creates offline context for AI coding agents by indexing local codebases with SQLite and FTS5 full-text search. It functions as a local context provider that can be used with MCP-compatible agents. The tool is ideal for developers who want fast, private, and cloud-free context retrieval during AI-assisted coding.
dev-context-engine is an AI & ML project. It focuses on building rich, offline context for AI coding agents without relying on cloud services. dev-context-engine is an open-source project aimed at developers. dev-context-engine is open source under the MIT license. dev-context-engine is available on the command line, and it can be self-hosted.
dev-context-engine first shipped in 2026. Development happens publicly on GitHub with 15 commits in the last 90 days. Key capabilities include Offline Context, Full-Text Search, and SQLite Backend. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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