A practical guide to AI agent infrastructure platform
What to look for when evaluating a AI agent infrastructure platform, and the mistakes teams make.
Nimbus Agent Cloud is infrastructure for building and hosting AI agents. It runs agent workloads, manages tool and action manifests, and exposes structured capabilities to external agents through emerging open protocols.
Nimbus Agent Cloud is infrastructure for building and hosting AI agents. It runs agent workloads, manages tool and action manifests, and exposes structured capabilities to external agents through emerging open protocols.
Each agent invocation executes in its own ephemeral sandbox with scoped filesystem, network, and credential access that is torn down when the run completes.
Tool and action manifests are pinned to cryptographically signed versions, so a run only ever calls the exact tool definition you deployed.
Publish a structured capability surface that lets external agents discover and call your hosted actions over a typed interface without reaching your internals.
Route inference across OpenAI and Anthropic models per run, with fallbacks and per-agent key isolation handled at the platform layer.
Long-running and multi-step agents run on Temporal-backed execution so workflows survive restarts, retries, and partial failures.
Describe your agent, its tool manifest, and required capabilities, then pin each tool to a signed manifest version.
Push the agent to Nimbus, which provisions a sandboxed runtime and wires up your OpenAI, Anthropic, or LangChain dependencies.
Invoke the agent through the API or expose it to external agents, with every run sandboxed and orchestrated on Temporal.
Host support agents that call internal tools through signed manifests while each conversation runs in an isolated sandbox.
Coordinate fleets of specialized agents as durable Temporal workflows that recover automatically from mid-run failures.
Publish a typed capability surface so partner or third-party agents can invoke your actions without direct access to your systems.
Nimbus Agent Cloud integrates with the tools you rely on.
We're a young company and growing carefully — here's honest feedback from teams using Nimbus Agent Cloud today.
“We moved a staging stack over in an afternoon and the bill finally stopped surprising us. Build, host, and connect AI agents to your tools.”
Engineering lead, seed-stage SaaS
“Setup was genuinely same-day, and when we had a question the team replied in the chat within minutes.”
Founding engineer, dev-tools startup
Nimbus Agent Cloud is SOC 2 Type II certified, sandboxes every agent run, and lets you pin tool manifests to signed, reviewed versions. Nimbus Agent Cloud supports SAML SSO and SCIM provisioning, offers per-customer data isolation, and shares its security documentation, DPA, and security-questionnaire responses with teams in evaluation — just ask in the sales chat.
Every invocation runs in an ephemeral sandbox with its own scoped filesystem, network policy, and credentials, and the environment is destroyed when the run ends so no state leaks between runs.
Each tool definition is published as a signed, versioned manifest, and an agent is bound to a specific version, so the tool's schema and behavior cannot change underneath a running agent without an explicit redeploy.
Agents can call OpenAI and Anthropic models and can be built with LangChain, while long-running orchestration is backed by Temporal.
You publish a structured capability surface that external agents discover and invoke over a typed interface, with access scoped to the actions you choose to expose rather than your underlying infrastructure.
What to look for when evaluating a AI agent infrastructure platform, and the mistakes teams make.
The criteria and workflows that matter most when picking AI agent infrastructure platform software.
How Nimbus Agent Cloud protects your data, and the certifications we hold.
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