AgentID
Shared memory, identity and tasks. Lower token costs.
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Artem Baygot

AgentID - Coordinate any AI agent tasks. Cut token costs up to 65%

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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.

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Artem Baygot
Maker
πŸ“Œ

Hey Product Hunt πŸ‘‹

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 πŸ™