SearchAtlas already had audits, content tools and SEO services. Ego Eimi worked with Afaq Jamshad on an agent system that could plan a goal, use those existing capabilities and retain context through the work.
An SEO task can cross reports, content, metadata and publishing tools. SearchAtlas had the underlying capabilities, but a person still had to translate a goal into the sequence of actions across them.
The engineering challenge was to add orchestration while retaining the useful platform services. Session state needed to survive agent handoffs and infrastructure scaling.
Atlas Brain decomposed goals and delegated work to specialized agents. Existing microservices became callable skills through MCP, with RabbitMQ coordinating events and progress updates.
The implementation used the OpenAI Agent SDK with OpenRouter and database-backed state through SQLAlchemy. Composite session and agent keys separated memory, while atomic rollback limited recovery to a failed run. Tiered routing assigned different classes of task to different models.
Project materials showing the workflows and interfaces described in this case.
Agent orchestration and persistent execution. The delivery section explains the workflow demonstrated here.
The delivery added a planning and execution layer over an established platform. Existing services could participate in agent workflows while state, progress and recovery were handled as application responsibilities.
Adding agents does not remove the need for platform ownership. Someone must maintain tool contracts, permissions, memory boundaries and the review rules for changes to a customer’s site. A takeover should include those controls alongside the orchestration code.
Project contribution: Afaq Jamshad. The scope described above identifies the work behind this case.
Editorial review: Ego Eimi · Updated September 6, 2026 · About the team
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