AgentState – Lightweight state manager for multi-agent AI workflows
AgentState to solve a problem I kept running into: managing state for multi-agent AI systems is surprisingly hard. When you have multiple AI agents that need to coordinate, persist their state, and query each other's status, you typically end up with a mess of Redis/Postgres setups, custom queuing, and manual synchronization code. The whole thing is ~3MB, written in Rust for performance and safety, runs in Docker, and handles 1000+ ops/sec. I've been running it in production for AI workflows and it's been rock solid.
AgentState – Lightweight state manager for multi-agent AI workflows launched on August 23, 2025 with 16 votes, #761 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
AgentState is a lightweight state manager designed for multi-agent AI workflows that need to coordinate, persist state, and query agent status without complex Redis or Postgres setups. Written in Rust and running in Docker, it weighs around 3MB and handles over 1,000 operations per second. The tool simplifies multi-agent synchronization and has been used in production AI workflows.
written from the facts on this page · September 2026
From the sources
Cloud-native, durable state for AI agents: WAL+snapshots, watch streams, idempotency, leases, TLS/mTLS, capability tokens, Python/TS SDKs, Helm. - ayushmi/agentstate
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