Frequently Asked Questions About Omnara
What is Omnara and what AI agents does it support?
Omnara is an AI Agent Command Center designed for centralized governance, real-time intervention, and fleet-wide observability — not just agent launch. It currently supports Claude Code natively, with plug-in architecture enabling rapid integration of new agents (e.g., Llama-based reasoning engines, custom RAG pipelines). All agents inherit Omnara’s core capabilities: cross-device control, intelligent alerting, and fail-safe execution guarantees.
How can I get started with Omnara?
Install Omnara in seconds: run pip install omnara && omnara for Python environments, or uv pip install omnara && uv run omnara for ultra-fast dependency resolution. Launch the dashboard, connect your first agent (e.g., Claude Code), and begin monitoring — no account, no credit card, no trial period. Local-first by default; cloud sync optional.
Can I use Omnara to manage AI agents from my phone?
Yes — and it’s a core design principle. Omnara’s mobile experience delivers full command capability: view live agent status, receive context-rich push alerts, approve/reject actions with one tap, and even initiate remote debugging sessions — all optimized for touch, offline resilience, and battery efficiency. Your phone isn’t a viewer; it’s a controller.
What fail-safe mechanisms does Omnara provide?
Omnara implements three-tiered resilience: (1) Real-time health probes that detect stalls, infinite loops, or memory exhaustion; (2) Policy-enforced execution boundaries (e.g., max steps, token caps, domain whitelists); and (3) Human-in-the-loop escalation paths that halt unsafe operations and await explicit approval. No agent proceeds autonomously beyond defined safety rails — ensuring accountability, traceability, and zero silent failures.
Is Omnara suitable for managing multiple AI agents simultaneously?
Absolutely — that’s its primary purpose. The dashboard renders dynamic topology maps showing inter-agent dependencies, load distribution, and shared resource contention. You can group agents by project, environment, or owner; apply bulk actions (pause all staging agents); and drill down into individual agent telemetry — all without performance degradation, even at 100+ concurrent agents.
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