Autonomy, the first full platform-as-a-service (PaaS) built specifically for agentic AI, today announced general availability of its platform, addressing one of the trickiest hurdles in AI adoption: moving autonomous agents from prototype to production.
As enterprises race toward “Software 3.0” and multi-agent AI systems powered by the Model Context Protocol (MCP), developers face messy integrations, brittle workflows, high infrastructure costs, and gaps in governance and observability. Autonomy aims to remove these roadblocks, letting teams ship reliable agentic products instead of fragile demos.
“Developers shouldn’t have to stitch together dozens of tools just to get an agentic product to run at scale,” said Matthew Gregory, CEO and Founder of Autonomy. “With Autonomy, every agent has a cryptographic identity, memory, knowledge, and safe tool integrations. Developers can deploy in seconds and scale to millions of agents without losing security or observability.”
A Full Framework for Building Agents
Autonomy provides an open-source framework and SDK for Python-based agents, connecting tools via MCP or APIs. Once deployed to the Autonomy Computer, agents benefit from elastic scaling, secure connectivity, and built-in governance—removing the need for teams to reinvent or manage infrastructure.
Standalone agents on a laptop are limited; the real value emerges when agents are orchestrated at scale and connected to enterprise systems. The Autonomy Computer offers a trust and governance layer, turning agents into viable, customer-facing services.
Runtime, Scale, and Security
Unlike container-based stacks, Autonomy’s elastic actor runtime can launch millions of lightweight, stateful agents in parallel, with cold starts in milliseconds and workflows that once took hours completing in seconds.
Connectivity has historically been a blocker for agentic systems. Autonomy addresses this with Private Links and identity-driven cryptography, ensuring end-to-end encrypted communication and compliance-ready connections across services.
Key Capabilities
- Framework & SDK: Rapid Python agent development.
- Secure Connectivity & Identity: Cryptographic IDs and Private Links for safe cross-cloud data access.
- Elastic Actor Runtime: Millions of agents with millisecond cold starts.
- Governance & Isolation: ABAC policies enforce least-privilege access.
- Observability & Operations: Logs, metrics, evaluations, and endpoints for full visibility.
- Knowledge, Memory, Planning: Long-running task coherence for multi-step agents.
Organizations can deploy a single agent or scale to full agentic products, making Autonomy a comprehensive PaaS for enterprises seeking reliability, trust, and scale in the agentic AI era.
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