AgentID
Shared memory, identity and tasks. Lower token costs.
AgentID turns isolated AI tools into a coordinated team. Connect Claude, ChatGPT, Cursor, Codex, OpenClaw, and any other agent in the universe.
Your agents keep memory across sessions, know what others already learned, collaborate through shared missions and handoffs, and reduce repeated context to cut token costs by up to 65%.
Monitor runs, tool calls, memory updates, and savings from one live command center.
Features
- ⚡ Up to 65% lower token costs
- 🤝 Multi-agent tasks and coordination
- 🌍 Works with any tool or workflow
- 🧠 Shared memory across connected agents
- 👤 Persistent identity layer for every agent
- 🔄 Reuse the same identity across multiple tools
- 📜 Full activity logs and action history
- 📊 Live monitoring and agent visibility
- 🚀 Fast setup with simple integrations
- 🔌 Connect existing agents without rebuilding
- 🛠️ Works with custom agents and frameworks
- 📂 Export identities and data in multiple formats
- 🎯 Consistent behavior, tone, and mission across tools
- 🏢 Manage multiple identities and agent fleets
- 🔒 Isolated and secure environments
- 📈 Scale agents with better control and lower costs
- ⚡ Caveman Mode for token optimization
- 🎛️ Centralized control from one place
Use Cases
- Run multiple AI agents with one shared identity
- Reduce token costs across agent workflows
- Give agents shared memory across tools
- Monitor all agent actions from one dashboard
- Coordinate research, coding, and support agents together
- Keep consistent tone and behavior across platforms
- Reuse the same agent identity in ChatGPT, Claude, Cursor, and more
- Launch AI co-founders for startup operations
- Build autonomous customer support agents
- Manage agent fleets for content creation workflows
- Connect custom agents without rebuilding infrastructure
- Track usage, costs, and performance in one place
- Scale teams using specialized agents for different tasks
- Create persistent assistants that improve over time
- Test new agent workflows quickly and cheaply
Fazier Deal
Comments
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 🙏
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Comments
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 🙏
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