Autonomy, the primary full platform-as-a-service (PaaS) constructed particularly for agentic AI merchandise, introduced the final availability of its platform. The launch addresses the largest challenges builders face when shifting autonomous brokers from prototype to manufacturing.
As corporations rush to undertake “Software program 3.0” and multi-agent AI methods powered by the Mannequin Context Protocol (MCP), they’re hitting the identical roadblocks: messy integrations, agent-to-agent governance gaps, brittle workflows, costly infrastructure, and an absence of visibility into how brokers truly behave. Autonomy removes these limitations so groups can ship actual merchandise as an alternative of fragile demos.
“Builders shouldn’t should sew collectively dozens of instruments simply to get an agentic product to run at scale,” mentioned Matthew Gregory, CEO and Founding father of Autonomy. “With Autonomy, each agent has a cryptographic identification, reminiscence, information, and protected instrument integrations. Builders can deploy in seconds and scale to tens of millions of brokers with out dropping safety or observability.”
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A full framework for constructing brokers. Autonomy offers builders an open supply framework to construct merchandise rapidly. Brokers are written in Python, wired to instruments through MCP or APIs, and deployed straight to the platform; the Autonomy Laptop. This lets groups reap the benefits of safe connectivity, elastic scaling, and built-in governance with out reinventing or managing infrastructure.
Brokers aren’t merchandise…but. Standalone brokers working on a laptop computer are usually not sufficient. The true worth comes when brokers are deployed at scale, orchestrated, and related to enterprise methods. Autonomy Laptop supplies the belief, governance, and interoperability layer that turns brokers into viable customer-facing providers.
Superior runtime and scale. In contrast to container-based stacks, Autonomy Laptop’s elastic actor runtime can launch tens of millions of light-weight, stateful brokers in parallel. Chilly begins occur in milliseconds. Workflows that when took hours, full in seconds. Groups can begin with one POC buyer and scale as much as enterprise prepared, multi-tenant merchandise with out re-architecting.
Safe messaging at scale. Connectivity has lengthy been the blocker for agentic methods. Autonomy Personal Hyperlinks and identity-driven cryptography be sure that brokers join throughout providers with end-to-end encryption and mutual authentication. Enterprises can now meet compliance necessities with out reinventing safety.
Key capabilities embody:
- Framework and SDK – Construct and deploy Python brokers quick.
- Safe connectivity & identification – Each agent has a cryptographic identification; Personal Hyperlinks management cross cloud API and knowledge entry.
- Elastic actor runtime – Hundreds of thousands of brokers with sub-millisecond chilly begins.
- Governance & isolation – Scope isolation and ABAC implement least-privilege entry.
- Observability & operations instruments – Evals, logs, metrics, and endpoints for full visibility.
- Data, reminiscence, planning – Brokers keep coherent throughout long-running duties.
Organizations can join as we speak to deploy a single agent or launch full agentic merchandise. With this launch, Autonomy positions itself because the ‘do all of it’ PaaS that permits enterprises to undertake agentic AI with reliability, belief, and scale.
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