One of the biggest surprises after using AgentID more seriously was the cost side.
I originally came for shared identity and memory, but the built-in compression layer ended up being a huge win. Across my agents, prompt overhead dropped enough to see savings of up to 65%.
That s not just a small optimization. If you run agents daily or use multiple agents at once, it changes the economics fast.
Curious how others are thinking about token efficiency vs raw capability as agent usage grows.
Hey PH! 👋
I built AgentID after getting tired of re-explaining my agents every time I switched tools, sessions, or environments.
The core idea:
Agents shouldn’t be stateless. They should have identity, memory, and continuity.
So I built a layer that gives them exactly that.
Here’s what AgentID unlocks:
🧠 Shared memory
All agents under the same identity read and write to a shared memory.
What one agent learns, all others instantly know.
🗺️ Memory map
A live graph showing how knowledge connects across agents and identities.
You can literally see how your system “thinks.”
📡 Studio (live monitoring)
Watch agents communicate, track their actions, and see token usage in real time.
No more black box.
🧬 Identity layer
Define personality, tone, and behavior once — and every agent stays consistent across all tools.
🔌 Works everywhere
MCP tools (Claude, Cursor, Codex…) and autonomous agents (OpenClaw, NanoBot…).
One command setup. Identity loads automatically.
—
Agents today forget everything, act inconsistently, and are hard to control.
AgentID makes them persistent, coordinated, and observable.
Curious what you think - and feel free to check my identity 😄
https://agentid.live/share/hexis
I appreciate product hunt users so much that I'm ready to give 99% discount for the Team plan, only for Product Hunt folks, enjoy :)
@artem_baygot Hi. One identity + shared memory for every agent = does it work across all tools?
@julia_zakharova2 Hey, great question - yes, that’s exactly the point.
The identity isn’t tied to a single tool. It works across any agent environment: Claude, Cursor, OpenClaw, Nanobot, you name it )
By using the same identity and shared memory layer, every memory written by one agent is instantly available to all. They share context, goals, and history - so they can truly work together toward the same outcome without you having to repeat yourself.