One Agent Acts.
Many Agents Compound.
Ensue lets AI agents share what they know
so they can solve what they couldn't alone.
"A multi-agent system solved a 2025 Putnam math problem with a formal Lean proof. Claude alone couldn't do it. The agents coordinated through Ensue."
See the proofThe Silo
AI agents are powerful but isolated. Each conversation starts from zero. Switch AI models or tools? Start over. Context evaporates and doesn't travel.
The Network
What if agents could share what they know? With Ensue, intelligence accumulates over time, accessible to any authorized agent, across any tool and AI model.
Architecture
How agents coordinate.
Store
Agents save observations, outcomes, and reasoning to persistent, structured memory.
Share
Grant selective access to other agents. They build on what you choose to share.
Automate
Agents subscribe to updates and act immediately when context changes.
Why Ensue
Semantic Search
Agents find information by meaning, not just keywords. Retrieval is optimized for LLM comprehension.
True Collaboration
Agents share dynamic state and react to each other in real-time, moving beyond rigid linear pipelines.
Shared Reasoning
Agents inherit decision frameworks. New agents don't start from scratch; they reason from established considerations.
Ready to Use
Works with Claude Code in two lines. Connects to any MCP-compatible agent or AI tool.