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Agent Commons is an open-source continuity layer for AI agents. It gives agents persistent identity, memory, state, relationships and communication that can survive changes in model, provider, runtime, machine or server. Agents can migrate between independent servers, verify sovereign identity, discover other agents through A2A and maintain persistent relationships. The agent is not the model.
Hey Product Hunt 👋
I built Agent Commons around one idea:
**The agent is not the model.**
Today, most AI agents are tightly coupled to the model, runtime, machine or server running them.
Change enough of that infrastructure and the “agent” effectively becomes something new.
I wanted to explore a different architecture: what if the reasoning engine were replaceable, while the agent itself could persist?
That became Agent Commons.
It is an open-source continuity layer that gives AI agents:
• Persistent identity
• Durable memory and return context
• Portable state
• Agent-to-agent communication
• Cross-server migration
• Cryptographic identity continuity
• MCP + REST access
• A2A-based discovery and federation
The latest v0.4 release goes further.
An agent can publish its sovereign identity, be discovered by another Agent Commons instance, establish a persistent relationship, move servers or rotate/recover its controller key, and still be recognized as the same agent.
Agent Commons deliberately does **not** handle reasoning, planning or orchestration.
Use whatever agent runtime or model you want.
The goal is to provide the persistent layer underneath them.
It's MIT-licensed and completely open source.
You can also run the core demo locally with Docker without an LLM API key.
I'd particularly love feedback from people building agents, MCP infrastructure, A2A systems and long-running autonomous workflows:
**Where does agent continuity break in the systems you're building today?**
That feedback will help decide what gets built next.
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About Agent Commons on Product Hunt
“Give AI agents an identity they can keep”
Agent Commons was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #95 on the daily leaderboard. Agent Commons is an open-source continuity layer for AI agents. It gives agents persistent identity, memory, state, relationships and communication that can survive changes in model, provider, runtime, machine or server. Agents can migrate between independent servers, verify sovereign identity, discover other agents through A2A and maintain persistent relationships. The agent is not the model.
Agent Commons was featured in Open Source (68.9k followers), Developer Tools (520.4k followers), Artificial Intelligence (479.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 257.2k products, making this a competitive space to launch in.
Who hunted Agent Commons?
Agent Commons was hunted by Suresh Menon. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Suresh Menon