Agent Farm
Parallel AI task execution system that spawns specialized AI agents with distinct roles to execute tasks concurrently.
What it does
Parallel AI task execution system that spawns specialized AI agents with distinct roles to execute tasks concurrently.
Agent Farm is a Python-based MCP server that implements a swarm-based task execution system. It spawns specialized AI agents with distinct roles (Scout, Worker, Memory, Guardian, Learner, Synthesizer) that collaborate to execute tasks concurrently. The system provides 30 MCP tools for system operations, file management, and knowledge base queries, with role-based tool permissions enabling secure parallel execution and achieving significant performance improvements.
Capabilities
Server
Quality
deterministic score 0.56 from registry signals: · indexed on pulsemcp · has source repo · 7 github stars · registry-generated description present