Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.
Enables running position-driven adversarial debates and code reviews between AI agents via MCP tools, supporting custom positions, multiple rounds, and local CLI models like Claude, Codex, and Gemini.
Multi-agent AI orchestrator that runs parallel coding agents in isolated sessions with self-improving intelligence, exposed via an MCP server for task execution and management.
An MCP server that implements the Contract-First Agentic Workflow (CFAW) methodology for AI-assisted software engineering, using a Mixture-of-Agents architecture with six tools to enforce contract-first development and maintain architectural integrity across coding sessions.
An autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.