AgentID
VerifiedShared identity. Shared memory. Shared mission. Lower token costs.
Quick facts
- Best for
- Agents
- Pricing
- Freemium
- Editor rating
- 5 / 5
- Community saves
- 0

About AgentID
Socials: AgentID gives AI agents a shared identity, memory, and task context layer across Claude, ChatGPT, Cursor, Codex, OpenClaw, and virtually every agent. Connect through MCP, SDK, API, or prompt, monitor them live, and cut token overhead by up to 65%! AgentID brings persistent identity, shared memory, and a common task, which allows agents to communicate together and having each other context when working on the common tasks, allowing varying agents to work collaboratively. The entire operation can be conveniently observed from a single command center. AgentID, free to start, is compatible with a diverse range of AI agents, ensuring that the technological stack remains unchanged. It allows both live and at-a-glance monitoring of all connected agents and provides shared intelligence built across tools and sessions. Agent configurations are simplified as AgentID defines identity once, and each connected agent inherits the characteristics, preventing configuration drift a deviation from the established or planned configurations. This comprehensive shared identity includes attributes like name, tone, and rules, allowing all agents to speak in the same voice and follow the same rules. A shared memory pool facilitates learning, where any information learned by one agent gets shared across all connected agents, maintaining persistence across tools, sessions, and time. Developers have the option of building their own agents using JavaScript/TypeScript SDK, with all the agents sharing an identity and carrying out assigned missions collectively. AgentID also comes with Caveman Mode, aimed at effectively reducing the token cost by automating system prompt compression. Supported featuresAPIMCP (Model Context Protocol)Run locallyOpen source Key FeaturesShared MemoryShared Identity Across AgentsToken Costs Saving
Pros
- Cross-session memory persistence
- Single handle for various agents
- Shared memory for all agents
- Real-time dashboard
- Changes tracking
- Shared goals establishment
- Configuration drift prevention
- Multi-agent mission creation
- Task handoff support
- Multi-platform compatibility
- No need for lock-in
- No need for rewrites
Cons
- Token savings can make old workflows feel wasteful
- No support for non-Java
- Script/Type
- Script
- Managing one agent is hard to go back to after running a full team
- You may start treating agents like coworkers
- Friends may ask why your AI agents seem more organized than they are