A native TypeScript AI orchestration engine and MCP server that coordinates autonomous sub-agents for complex coding tasks using DAG-based parallel execution and multi-agent consensus validation, with a real-time web dashboard.
Enables agents to submit and manage persistent, dependency-aware task graphs with immutable artifacts, resource reservations, durable event streaming, and retryable process execution over MCP.
A production-ready MCP server for task management, enabling LLMs to create, list, and manage tasks via tools and resources, with support for local stdio and cloud Streamable HTTP deployment.
Deterministic execution engine for AI agents. 412 modules across 78 categories including browser automation, file I/O, Docker, data parsing, crypto, and scheduling. Supports
STDIO and Streamable HTTP transport with execution trace, evidence snapshots, and replay from any step.
A production-oriented MCP runtime providing orchestration tools for IDE and agent integrations, including task management, diagnostics, and token usage reporting.
