Durable, agent-native AI runtime with native MCP client and server support. Rust core for performance with Python SDK for workflow authoring. Features graph-based workflows, durable execution, A2A protocol support, and multi-agent coordination.
MCP server for Overton, an admission control daemon that gates coding agent dispatch based on per-account and per-project budget allocation. It lets agents ask for permission to run, returning verdicts such as go, wait, ask, or deny with retry timing to prevent overspending.
A high-performance Go-based MCP server that provides a microservice architecture for orchestrating diverse tools through gRPC and HTTP/REST APIs. Enables seamless integration of language-agnostic tools including ML capabilities, web search, calculations, and human interaction for intelligent agent workflows.
A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.
