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OMNIGENT
The meta-harness for all your AI agents
Apache-2.0
ABOUT
Teams using multiple AI coding agents — Claude Code, Codex, Cursor, Hermes — face a fragmented experience: each agent has its own CLI, configuration, sandboxing, and session model, making it hard to switch between them, combine their strengths, or enforce consistent governance policies. Omnigent solves this by acting as a meta-harness that wraps all these agents under a single orchestration layer: agents can be swapped or combined without rewriting, policies (spend caps, approval gates, tool restrictions) apply uniformly, sandbox execution is managed in cloud providers, and sessions sync across devices so work started on a terminal can be continued on a phone or desktop app.
INSTALL
pip install omnigentINTEGRATION GUIDE
1. Supervise multiple coding agents (Claude Code, Codex, Cursor) in the same session with coordinated task orchestration
2. Enforce consistent governance policies across all agents — spend caps, approval before risky actions, tool restrictions
3. Run agents in disposable cloud sandboxes (Modal, E2B, CoreWeave) without managing infrastructure
4. Collaborate with teammates by sharing agent sessions, watching work in real-time, or forking conversations
5. Access and manage AI agent sessions from any device — terminal, browser, mobile phone, or desktop app
TAGS
agentsorchestrationmulti-agentsandboxpoliciescollaborationmeta-harness