HFS Hot Vendor: Autonomy.Computer

Autonomy.Computer focuses on runtime, secure communication, and the scaling of continuous autonomous workflows.

The team believes the architecture of most current agent systems is fundamentally inefficient because builders treat each agent as a standalone container, spinning up thousands of isolated processes. Instead, an agent should be viewed as a long-lived state machine (which remembers what it has already done) rather than a microservice (which has to reload context for every request).

Autonomy.Computer operates in the agentic execution layer of the AI stack, above model providers such as OpenAI and Anthropic, alongside model-centric and agent abstraction tools like LangChain and Crew AI, and below workflow SaaS and industry-specific solutions.

Each agent has its own cryptographic identity, its own mutually authenticated communication channels, and its own isolated execution environment. This means agents prove “who” they are to each other with verifiable identity at every interaction. Sensitive data never moves through shared pipes, tools connect through encrypted portals, and all cross-cloud or on-prem links are secured end-to-end.

Net-net, each agent acts like a fully verified, access-controlled digital employee, thereby reducing the risk of data leakage.