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Atelier is an open-source context runtime designed for coding agents like Claude Code, Codex, and Copilot. It provides code indexing, reusable workflows, fault recovery, loop detection, and cost tracking via an MCP server. In CodeGraph benchmark tests, it achieves approximately 25% cost reduction and 75% fewer tool calls.
Section 01
Atelier is an open-source context runtime designed for coding agents like Claude Code, Codex, and Copilot. It provides code indexing, reusable workflows, fault recovery, loop detection, and cost tracking via an MCP server. In CodeGraph benchmark tests, it achieves approximately 25% cost reduction and 75% fewer tool calls.
Section 02
Section 03
With the rapid development of AI coding agents like Claude Code, GitHub Copilot, and OpenAI Codex, developers have gradually realized a core problem: when agents face large codebases, they consume a lot of tokens and tool calls on repeated code scans. Whether it's grep, glob, or read operations, these basic tools generate huge overhead when exploring unfamiliar codebases, and the larger the codebase, the more severe the problem.
Existing solutions are often limited to specific platforms and lack a unified runtime layer across agents and vendors. Development teams need to repeatedly build the same infrastructure across different tools, leading to inefficiency and resource waste.
Section 04
Atelier is an open-source context runtime and governance layer designed specifically for coding agents. Through a unified MCP (Model Context Protocol) server and Python SDK, it provides consistent infrastructure support for mainstream agent hosts such as Claude Code, Codex, Copilot, Cursor, opencode, LangChain, OpenAI Agents SDK, and Google Gemini ADK.
The core vision of the project is to equip coding agents with pre-built code indexing, reusable workflows, fault recovery mechanisms, loop detection, and cost tracking capabilities, thereby significantly reducing operational costs and improving development efficiency.
Section 05
The core of Atelier is an MCP server that provides standardized interfaces for all supported agent hosts. The server started via the atelier mcp command can be connected to any MCP client, enabling the sharing of code intelligence and controlled tools.
Section 06
Atelier provides a complete command-line interface that supports:
atelier context)atelier traces)atelier rubrics)atelier memory)atelier runtime)Section 07
Manage OS-level background services via the atelier background command, including controllers and optional visualization stacks. These services ensure continuous updates of code indexes and real-time monitoring of operational status.
Section 08
Atelier uses Sourcegraph's SCIP code indexing format to build pre-indexes for large codebases. This means agents no longer need to repeatedly scan the file system; instead, they can directly query the structured code graph. For a VS Code-sized codebase (about 10,000 files), the index building time is approximately 1034 seconds, but this one-time cost is significantly amortized in subsequent queries.
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