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AgentID
Coordinate any AI agent tasks. Cut token costs up to 65%
Since our first launch, AgentID evolved from an identity layer into a full operating system for AI agents. We added multi-agent Tasks with live handoffs, plus flexible deployment through MCP, SDK, API, prompt export, and local agents. The biggest breakthrough is built-in prompt compression that cuts token costs by up to 65%. HUGE shift for anyone running agents daily or at scale. Manage everything in one Agency dashboard with live activity, shared memory, and real-time coordination.
When we first launched AgentID, the focus was shared identity and memory for AI agents.
Since then, we realized something bigger: The future of AI agents is not just better memory. It’s better economics + better coordination. So we added two major upgrades to AgentID.
⚡ 1. Up to 65% lower token costs (HUGE)
This is not a tiny optimization. For anyone using agents every day, or running multiple agents, token spend becomes real money fast.
We built a compression layer directly into AgentID that can reduce prompt overhead by up to 65% for ANY CONNECTED AGENT (<- this is HUGE) - with no extra workflow, no manual prompt rewriting, and no setup headaches. That changes what becomes practical to run.
🤝 2. Multi-agent Tasks You can now give multiple agents one shared task, track progress live, and let them hand work off to each other with context intact.
Less repetition. Less chaos. More useful output.
🌍 Works with anything in the universe Use AgentID through MCP, SDK, Autonomous Agents (OpenClaw, NanoBot, and any other), API, prompt export, or local setups with the tools you already use.
🎯 Our goal Make AI agents feel less like disconnected tools, and more like a real team that performs well and costs less to operate.
Excited to hear what you think 🙏
About AgentID on Product Hunt
“Coordinate any AI agent tasks. Cut token costs up to 65%”
AgentID was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. Since our first launch, AgentID evolved from an identity layer into a full operating system for AI agents. We added multi-agent Tasks with live handoffs, plus flexible deployment through MCP, SDK, API, prompt export, and local agents. The biggest breakthrough is built-in prompt compression that cuts token costs by up to 65%. HUGE shift for anyone running agents daily or at scale. Manage everything in one Agency dashboard with live activity, shared memory, and real-time coordination.
On the analytics side, AgentID competes within Productivity, Artificial Intelligence and Development — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AgentID performed against the three products that launched closest to it on the same day.
Who hunted AgentID?
AgentID was hunted by Artem Baygot. 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.
For a complete overview of AgentID including community comment highlights and product details, visit the product overview.
Artem Baygot
Hey Product Hunt 👋
When we first launched AgentID, the focus was shared identity and memory for AI agents.
Since then, we realized something bigger:
The future of AI agents is not just better memory. It’s better economics + better coordination.
So we added two major upgrades to AgentID.
⚡ 1. Up to 65% lower token costs (HUGE)
This is not a tiny optimization.
For anyone using agents every day, or running multiple agents, token spend becomes real money fast.
We built a compression layer directly into AgentID that can reduce prompt overhead by up to 65% for ANY CONNECTED AGENT (<- this is HUGE) - with no extra workflow, no manual prompt rewriting, and no setup headaches.
That changes what becomes practical to run.
🤝 2. Multi-agent Tasks
You can now give multiple agents one shared task, track progress live, and let them hand work off to each other with context intact.
Less repetition.
Less chaos.
More useful output.
🌍 Works with anything in the universe
Use AgentID through MCP, SDK, Autonomous Agents (OpenClaw, NanoBot, and any other), API, prompt export, or local setups with the tools you already use.
🎯 Our goal
Make AI agents feel less like disconnected tools, and more like a real team that performs well and costs less to operate.
Excited to hear what you think 🙏