Omnigent
Meta-Harness For Building And Running AI Agents
Open SourceFree / Open Source (Apache 2.0)
About Omnigent
Omnigent is an open-source meta-harness for composing, governing, and running AI agents across different execution frameworks. It provides OS-level sandboxing, budget guardrails, and real-time multi-device collaboration for coding and autonomous workflows.
Ideal for
Composing and orchestrating multi-agent coding workflowsEnforcing spend budgets and OS-level sandboxes on autonomous agentsCollaborating live with teammates on shared AI agent sessions
Key Features
Pros
- Unified meta-harness layer to compose and swap agent frameworks without code rewrites
- Secure OS-level sandboxing restricts filesystem and network access while brokering secrets
- Stateful policy engine enforces cost budgets, spend caps, and model routing guardrails
- Live session sharing enables real-time multi-user review, steering, and inline commenting
- Cross-platform client ecosystem spanning terminal, web, desktop, and mobile apps
Cons
- Currently in alpha development and rapidly evolving
- Requires initial setup and configuration to define custom YAML agents and policies
- Users need to supply their own model provider API keys for LLM execution
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