pacifio/atlas

Atlas solves the problem of agents starting from zero each session and losing context when switching between different coding agents. It also addresses the lack of visibility into agent actions by recording and making queryable all changes, decisions, and history, which is not provided by existing agent tools.

Developers can build complex multi-agent workflows where multiple coding agents collaborate on the same codebase with shared memory and context. They can track every change, query past sessions, and integrate agent knowledge into prompts. The ceiling includes running parallel agent sessions, maintaining a persistent knowledge base, and enabling seamless agent switching without loss of context, suitable for large-scale software projects.