AgentOps by Brahmalabs is where autonomous agents become deployable software. Visual workflows, durable execution, multi-tenant isolation, and a complete audit trail — built in from day one.
Most agent libraries help you build a demo. AgentOps is the platform that takes agent code into production: visual workflow design, multi-model runtime, durable execution, human-in-the-loop approvals, fine-grained access control, and observability — composed into one coherent system.
Compose agents, tools, conditions, loops, code steps, HTTP calls, and human approval gates the way you would diagram them on a whiteboard. The platform validates the shape of the workflow as you build it, so broken wiring is caught before deploy.
Runs survive crashes, restarts, and partial outages. Pause, resume, replay, or cancel any in-flight workflow. Retries are first-class — never bolted on. A workflow that started yesterday can still finish today.
Approval gates, automated content guardrails, and configurable spend ceilings before agents take consequential action. Agents propose; humans decide; every decision is recorded against the run.
Watch every step in real time. Per-run token, latency, and cost accounting. Forward events to your existing on-call and analytics tooling. A queryable audit log of everything that happened — and why.
Identity, isolation, least-privilege, and provenance are not premium add-ons — they are the foundation. AgentOps is designed to pass review, not to negotiate around it.
Connect your existing identity provider. Users sign in with the credentials your security team already manages. Membership and group provisioning happen automatically.
Decide who can build, who can publish, and who can approve. Permissions are enforced server-side on every request — never just hidden in the interface.
Every customer's workflows, runs, and credentials live in a bounded space scoped to their organisation. Cross-tenant access is structurally impossible, not just policy-prevented.
Each workflow runs inside its own container with the base image, CPU and memory ceilings, network policy, and execution timeout you choose. One workflow's load can never starve another.
Agents see only the tools and MCP servers you explicitly grant them — at the workspace, workflow, and individual-agent level. Nothing outside the allow-list is reachable. No shadow capabilities, no surprise side-effects.
Agents never see raw credentials. Provider keys, API tokens, and OAuth secrets stay in the platform vault. The runtime injects scoped, short-lived references at call time and revokes them when the run ends — even an exfiltrated prompt has nothing to leak.
Every authentication, configuration change, workflow run, approval, key issuance, and integration call is recorded. Exportable, immutable, queryable directly by your compliance team.
Plus the Model Context Protocol — bring any MCP-compatible server. Credentials stored in the platform vault, scoped per workspace.
Credits are the unit of platform usage — metered against what actually costs money to run. Bring your own model keys to pay providers directly at provider pricing.
One unit. Predictable. Metered against actual platform cost.
Connect Anthropic, OpenAI, or any compatible provider key. You pay the model provider directly at their public rates; Brahma charges 0.1 credits per 1k tokens for platform overhead — typically a 90% reduction versus hosted inference.
AgentOps is the layer that makes agentic systems durable, governable, and inspectable. Start free, or talk to us about a sovereign deployment.