Context Mode is a context window optimization layer for AI coding agents. It sits between your agent and its tools, sandboxing bulky tool output before it floods the context window, persisting session memory across conversations, and enforcing routing rules, so agents like Claude Code and Codex stay fast, accurate and affordable on long tasks.
Context Mode has collected more than 31,400 stars on GitHub and is under very active development. Long coding sessions have a well-known failure mode: file dumps, logs and search results consume the context window until the agent forgets the original goal and token costs spiral. Context Mode attacks that problem directly. It runs tool calls in a sandbox and returns condensed results (the project reports reductions of up to 98%), keeps a persistent memory of session state that survives restarts, and applies routing rules across the tools an agent uses. It integrates through MCP and platform hooks with 17 environments, including Claude Code, Codex, Cursor, Copilot, OpenCode and Zed.
Context Mode offers a free tier for individual developers, with paid plans for professionals and enterprises that need higher limits, team features and support, as described on the official site.
Context Mode is for developers and engineering teams who run AI coding agents on large repositories or long sessions and want lower token bills, fewer derailed tasks, and consistent behavior across multiple agent platforms.