AgentOS
Rust runtime for AI agents with time-travel replay
What it does
AgentOS is a Rust runtime layer that sits underneath agent frameworks instead of replacing them. One command gives you a supervised agent process, a health endpoint, a gRPC message bus, a live SSE event stream and a journaled trace. Every LLM exchange and tool result is recorded at the provider boundary, so any run replays deterministically with no API cost. Open source, local-first, currently alpha.
Runtime infrastructure for AI agents — lifecycle, supervision, secrets, and deterministic time-travel replay. Built in Rust. - WAHIB-EL-KHADIRI/AgentOS
Does the same job
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- AMAgno – multi-agent framework, runtime and control planeOct 2025 · agno.link · ▲9
Hi HN, Excited to share Agno, a framework and runtime for multi-agent systems. Think of it as FastAPI for AI Agents. At its core is the AgentOS, a high-performance server/runtime that helps you run and manage AI agents, multi-agent teams, and step-based agentic workflows — all inside your own cloud, with full privacy and no external data sharing. What makes it different • Fast & lightweight — Agents instantiate in ~3μs and use ~6.6 KiB of memory on average (tested on M4 MacBook Pro). • Runtime architecture — Async, stateless, horizontally scalable runtime built on FastAPI. • Integrated…
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