Silicon Valley has been buzzing about Instinct’s closed-loop model for agent-to-agent communication, but Fulcra Dynamics argues that approach is a dead end. On September 18, 2026, the Boston-based startup launched a universal interoperability layer that lets AI agents from different platforms talk to each other. Whether you are running Claude, ChatGPT, Hermes, or OpenClaw, your agent can now connect with anyone else’s through Fulcra’s backend. This move directly challenges the walled-garden strategy currently dominating the market, offering users a way to collaborate without switching ecosystems.
Michael Tiffany, CEO of Fulcra Dynamics, calls the current trend of proprietary agent networks a “short term sugar rush.” He believes locking users into a single model creates unnecessary security risks and limits personal choice. Instead of forcing everyone onto one platform, Fulcra acts as a neutral infrastructure layer. It normalizes data and places it on a timeline, allowing agents to query changes in context rather than just exchanging static messages. This means your Hermes agent can negotiate dinner plans with a friend’s Claude agent, adjusting in real-time if your afternoon meeting runs late, without either of you needing to share private calendar details.
The real test for this technology isn’t just one-on-one chats, but group dynamics. Adding new people to a coordinated plan usually requires them to sign up for the same app, a friction point that kills adoption. Fulcra solves this by letting outsiders join via invitation links. They can see the evolving plan and contribute without creating a new account or exposing their full data history. Sarah can invite David, who has never used an AI agent, and he can still participate in the scheduling logic. His agent doesn’t need to exist; he just needs to approve the outcome.
This shift from model-centric to user-centric interoperability could redefine how we view personal AI assistants. If agents become true proxies for our intent rather than just interfaces for specific large language models, the value proposition shifts from the underlying AI to the quality of the context engine. Fulcra is betting that freedom of choice will win over convenience of confinement. The question now is whether major players like Google or OpenAI will adopt this open standard or continue to push their own siloed solutions.
