Agent DevTools is a free, open-source tool released under the MIT license designed to manage AI agent workflows. It functions as a local infrastructure that requires only a standard Python installation to operate, eliminating the need for Docker, external Python packages, database servers, or MCP servers.
The tool allows AI agents to maintain project context across multiple sessions by storing findings, assumptions, and decisions directly within the project directory. It utilizes the built-in SQLite module for data management, ensuring that knowledge is preserved and accessible for future tasks without requiring additional infrastructure.
Installation is performed via a single command using a bootstrap script from the project's GitHub repository. Once deployed, the tool provides a CLI that helps agents organize work, select relevant tests, and document project requirements. It also includes a handoff create command to package unfinished work for later resumption.
The system is compatible with browser-based AI chat environments that support code execution and file access. It does not require external model calls for knowledge retrieval or search, relying instead on the local workspace state to ensure continuity in engineering tasks and research projects.
