The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.
Save context for what matters. The last agent you'll ever need.
BMAD Method extensions : domain-specialized AI agent teams for complex systems. Ships with Vortex (7 agents and 22 workflows for product discovery), Gyre (4 agents and 7 workflows for production readiness), Enhance (new skills) and a team factory.
Think in Higher Dimension
An open framework for building self-improving AI agent teams. Includes a meta-agent architecture with independent auditing, git-backed evolution, and structured feedback loops. Ships with a complete marketing team, a reusable team-builder skill, and a portable prompt that works with any LLM.
Co-processor CLI for delegating deterministic coding tasks to Pi agent. Safety-first design with YOLO firewall, stall detection, parallel burst mode, and YAML pipelines. TypeScript.
Hierarchical agent orchestration system with JSON-RPC 2.0 unified architecture
Meta-agent system for Claude Code that creates specialized AI agents through deep domain research and 7-lens quality review
An AI agent that autonomously discovers, analyzes, and trades prediction markets on Polymarket -- then learns from its own results to evolve its strategy over time.
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