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Coordinate independent AI agents into an engineering team with structured execution and review.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ForgeSwarm" yet — see the docs or source repo.
Use ForgeSwarm to create a collaborative workflow for "adding JWT login, authorization checks, and audit logs to an existing Node.js API": first make a plan, then split work into backend development, testing, and code review agent tasks, and keep progress synced on the shared board.
An executable multi-agent engineering workflow with task breakdown, role assignment, implementation, and review loops.
Use ForgeSwarm to coordinate multiple AI agents to refactor this Python project: one agent identifies technical debt, one performs modular refactoring, and one runs tests and provides review feedback, following the plan-implement-review-iterate workflow.
A collaborative result covering technical debt analysis, refactoring work, test feedback, and iterative fixes.
Use ForgeSwarm to set up a shared task board for "building file upload and asynchronous processing," defining agent responsibilities and delivery order for requirement clarification, API design, implementation, testing, and final review.
A structured shared task board and agent collaboration plan with clear inputs, outputs, and dependencies for each stage.
Lets AI agents inspect fact-check scope, evidence gaps, and review requirements.
Enable coding agents on one machine to discover and collaborate together.
Connect to Swarm for memory, coordination, artifacts, and agent execution.
Manage skills across many code agents with discovery, install, enable, and sync tools.
Self-host and orchestrate multi-agent workflows with memory, scheduling, and multi-LLM support.
Connect MCP clients to GenSwarms fleets for monitoring, configuration, and control.