#agent-runtime

Open-source agent runtime — SSH-native isolation, eBPF egress policy, Kubernetes + LXC backends, GPU passthrough, MCP-native CLI

AxonFlow: Runtime control layer for production AI

Donmai is an open-source workflow runtime that runs, retries, and audits multi-step agent tasks on your machine. The same binary powers Rensei in production. MIT-licensed.

Donmai is an open-source workflow runtime that runs, retries, and audits multi-step agent tasks on your machine. The same binary powers Rensei in production. MIT-licensed.

Open, self-hostable agentic runtime for organizations — durable, replayable agent sessions, human approvals, governed credentials and memory, running in managed sandboxes or on your own hardware. Apache-2.0.

Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.

Open-source security-first runtime for AI agents that learn and act across sessions.

An open-source terminal coding agent runtime and CLI for real project work.

the governed runtime for agent skill workflows, off the leash but on the record

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

A local workbench for agents doing continuous work across sessions, commands, human input, and external events.

Multi-Agent Framework

Open-source Go agent runtime for autonomous AI systems and multi-agent automation. MCP, RAG, 15+ LLM providers and 60+ built-in tools in a single binary.