Autonomous Agent Runtime

Autonomous Agents

Deploy goal-driven AI agents that reason, use tools, and iterate autonomously. Full lifecycle management with policies, teams, credentials, and version-tracked sessions.

Autonomous Agents

Key Capabilities

Goal-Driven Sessions

Give agents a goal and let them reason through it. Each session tracks iterations, tool calls, token usage, and costs in real time with a full execution timeline.

Budget & Permission Policies

Define policies that control iteration limits, token budgets, cost caps, time limits, code execution, and network access. Assign versioned policies to any session.

Agent Teams

Organize agents into teams with shared policies and coordinated task execution. Manage multi-agent workflows from a single dashboard.

Credential Broker

Agents never see secrets. The Credential Broker resolves opaque references server-side and logs every usage to an audit trail. Zero-trust credential management.

Agent Registry

Register, version, and discover agents across your organization. Track definition changes with immutable version snapshots and content-hash deduplication.

Version History

Every policy, guardrail config, and agent definition is version-tracked. Browse the full history, compare snapshots, and know exactly what changed and when.

Full visibility into every agent session

The session detail view shows each iteration with the agent's reasoning, tool calls, observations, and final actions. A sidebar tracks budget consumption for iterations, tokens, cost, and time against configured limits. See the exact policy version and model configuration used.

Full visibility into every agent session

Granular policies for every use case

Start from built-in templates (Restrictive, Standard, Permissive, Code Execution, Research Only) or create custom policies. Each policy controls iteration limits, token budgets, cost caps, wall-clock time, code execution, network access, file system permissions, sandbox resources, credential access, PII handling, and observability settings. The table shows all active policies with their limits at a glance.

Granular policies for every use case

Fine-grained policy configuration

The policy editor exposes every control surface: Budget Controls (iterations, tokens, cost, time), Permissions (code execution, network, delegation), Network Controls (allowed/denied domains, ports, TLS), File System (writable/denied paths, file type allowlists), Sandbox Resources (memory, CPU, disk, blocked modules), Credentials, Content Safety (PII action, blocked topics), HITL gates, and Observability (log level, retention, tracing).

Fine-grained policy configuration

Version-tracked policies with full audit trail

Every policy edit creates an immutable version snapshot. Browse the full version history, see who made each change, and compare JSON snapshots side by side. Content-hash deduplication prevents spurious versions when nothing actually changed.

Version-tracked policies with full audit trail

Secure credential management for agents

The Credential Broker ensures agents never see raw secrets. Credentials are registered with opaque reference IDs, resolved server-side at runtime, and every usage is logged. Revoke access instantly without redeploying agents.

Secure credential management for agents

Organize agents into collaborative teams

Group agents into teams with shared configurations and coordinated execution. Assign team-wide policies, monitor aggregate performance, and manage multi-agent workflows from a unified view.

Organize agents into collaborative teams

Discover and manage agents in the registry

The Agent Registry is the single source of truth for all agents in your organization. Register new agents, track definition versions, and see which agents are active. Every definition change is versioned with content-hash deduplication to prevent duplicate snapshots.

Discover and manage agents in the registry

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