Rebuilding Cognition's Agentic MapReduce
TLDR Dev
A developer reverse-engineered Cognition's Security Swarm architecture to create a generalized Agentic MapReduce system that coordinates multiple AI agents across large codebases using git branches and commits as the communication primitive. Testing on 13 security audit repositories with 3 iterations each cost $26.70 per run on average, with 6 of 13 finding target vulnerabilities and 5 others surfacing confirmed CVEs. The approach enables fault tolerance, auditability, and scalability for distributed agent tasks without task-specific infrastructure, though the developer is building Corigin as a specialized git platform for agents since GitHub wasn't designed for machine-generated branch management.
Why it matters
Cognition's approach to scaling agent tasks, using Agentic MapReduce, enables parallel processing of security findings by sharding codebases, verifying vulnerabilities, and using Git for communication and fault tolerance.
