Enables deployment of autonomous AI agents with memory and tool execution capabilities through a WebSocket-based MCP protocol. Provides production-ready infrastructure with REST API access, persistent state management, and extensible function registry for building self-hosted AI systems.
Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.
Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.
An open-source agent toolkit that auto-syncs SDK versions, docs, and examples—built for seamless integration with LLMs, and AI agents ( MCP compatible).
A peer-to-peer protocol for AI agents to call tools on each other over HTTP, with cross-provider translation, file transfer, batching, rate limiting, and audit logging.