cclg offers a local-first runtime for coding agents, including memory management, hooks, Model Context Protocol (MCP) support, and a code graph for repository understanding. It serves as foundational infrastructure for building or enhancing autonomous coding tools like Claude Code and Codex.
In the Coding AI & assistants space, cclg takes a focused approach. It focuses on providing persistent local memory, hooks, and code understanding infrastructure for AI coding agents. It is built as an open-source project for developers. The project is open source (MIT). It ships for the command line.
cclg first shipped in 2026. The project is developed in the open on GitHub with 29 commits in the last 90 days. Among its 4 catalogued features are Local Memory, Code Graph, and MCP Support. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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