Deploy, upgrade, schedule, and disable agents across cloud accounts from a single control plane.
Trigger auto-remediation, dry-run, or human approval flows (via Slack or CLI).
Track agent actions, success/failure, and impact over time with full logs and dashboards.
Let agents collaborate—e.g., IAM Agent notifies Threat Agent to escalate.
Ship your agents as service bundles via our platform with AWS, GCP, OCI and Azure integration.
Connect agents to LLM-based advisors for fix planning, policy analysis, and threat triage.
Write and deploy new agents using our open SDK. Start with templates, ship in minutes.
Track agent behavior, define guardrails, and enforce policies across accounts.
Essential features for integration and customization.
Know what agents are doing, where, and why—with full logs, metrics, and approval history.
Apply enterprise guardrails with dry-run, rollback, and Slack-in-the-loop workflows.
Move from one-off bots to an organization-wide network of intelligent, coordinated agents.
Create, configure, schedule, and run agents across environments with full lifecycle control.
Define step-by-step governance workflows for approving or rejecting agent actions.
Manage incident definitions, set SLA/SLO thresholds, and monitor outcomes over time.
Customize alarm conditions and routing using agent policies and observability signals.
Set when agents run, how frequently, and under what conditions.
Organize agents into functional or organizational groups (e.g., Dev, Stage, Prod) with user access rules.
Agents can share memory and trigger shared actions — enabling governance at scale.
Used for Agent Authentication with the Aviary platform.
Continuously assess the health of endpoints, APIs, and workloads across services.
Customize and deploy open-source worker agents tailored to your environment in seconds.
Organize task-based workers into modular libraries powering broader service agents.
Generate worker agents automatically using OpenAPI schemas.
Create and tune models using tools like Databricks, Snowflake Cortex, or built-in neural networks.
Manage credentials and access tokens for external systems (e.g., Databricks, Snowflake).
Connect agents to runtime clusters using kubeconfig for Kubernetes-based deployments.
Combine forecasts across services to surface critical trends and performance degradation.
Visualize near-future performance by agent, service, or composite workload — including alarm probabilities.
Identify recurring issues based on saved incident summaries and known resolution patterns.
Conversational, dynamic views that summarize health, risk, and SLA/SLO performance.
Native agent compatibility with AWS, Azure, GCP, Oracle Cloud, and IBM.
Interact with agents and dashboards directly via Slack or Teams, like an SRE comrade, to investigate or configure services.
Share custom-built agents with others across your org or community.
Run agents as Kubernetes-managed services, Docker containers, or standalone executables.
Authenticate your agents securely with the AI platform.
Independent Agentic AI agents that monitor, observe, manage and remediate cloud environments with:
Shared from a single platform.
.png?width=32&height=32&name=organization%20(2).png){kind=small}
