omnigent-ai/omnigent
Omnigent is an open-source framework that manages and orchestrates multiple AI agents in a single environment.
The project functions as a meta-harness for various models like Claude Code, Codex, and Cursor. It allows developers to connect different AI tools to specific tasks while keeping the underlying infrastructure consistent. One of its main features is the ability to swap out different harnesses without needing to rewrite the existing code. This modularity helps teams test different models quickly to see which performs best for a specific task. It also includes tools for real-time collaboration, which helps teams coordinate on complex workflows across different devices.
For AI practitioners in the public sector, this framework addresses several core requirements around governance and security. It includes built-in sandboxing and policy enforcement, which are necessary for deploying AI in regulated spaces. Instead of adding security as an afterthought, the framework supports a “Governance-by-Design” approach. The system integrates rules and safety boundaries into the way agents interact with data and systems. Using an open-source project under the Apache License 2.0 also provides the transparency often required by public institutions. It offers a practical way to move from experimental AI to reliable, secure, and auditable agentic workflows.
How is your team approaching policy enforcement for AI agents in regulated environments?
#AI #AIGovernance #PublicSector #OpenSource #AIAgents
https://github.com/omnigent-ai/omnigent