Omnigent

Key features

• One workspace driving many harnesses Run Claude Code, Codex, Cursor, Pi, and custom agents side by side in a uniform session layer, swapping or combining them with minimal changes instead of rewriting workflows.[1][2]

• YAML-defined custom agents Declare purpose-built agents in YAML, including the built-in coding orchestrator and a model-debate setup, so team-specific routines live beside the off-the-shelf harnesses.[1]

• Fifty-plus model backends with routing Direct traffic across a large model catalogue with per-harness configuration and reasoning-effort control, defaulting to Gemini 2.5 Flash-Lite in the current release.[1][2]

• Stateful policy enforcement Apply spend caps, model routing, and risk-based escalation that track agent actions over time, with approval steps for risky operations rather than relying on prompt instructions.[1][2]

• Sandboxed execution with brokered credentials Restrict filesystem and network access per session while Omnigent holds the secrets, so aggressive autonomous runs stay contained without leaking API keys.[1]

• Offline lanes for local models Force selected lanes onto local models so no cloud call is made, giving air-gapped-style operation for the work scoped to those lanes.[1]

• Remote sandboxes over SSH Provision Windows, Mac, and Linux sandboxes in Omnigent Cloud and reach them from any device, keeping long-running agents off the laptop.[1][2]

• Control Plane UI, APIs, and mobile apps Operate sessions from the web control plane, the v1 REST and WebSocket APIs, or the native iOS and Android apps, with shared history and presence across entry points.[1][2]

Who will love it

• Teams running several AI coding harnesses side by side fit unified sessions, routing, and history where Claude Code, Codex, and Cursor coexist and need one operational picture.[1][2]

• Developers delegating work under policy approvals are served by spend caps, escalation rules, and sandboxed runs for handing agents real tasks with guardrails stronger than prompts.[1][2]

• Operators running agents away from the desk are served by remote sandboxes, SSH workspaces, and mobile apps for starting long agent runs and checking in from anywhere.[1][2]

Who should avoid it

• Teams requiring SSO, audit exports, or an SLA are unserved: no SSO, data-region list, or enterprise support tier is documented, so regulated or centrally managed environments cannot adopt it on contract today.[1][2]

• Buyers needing a managed price list must wait: the cloud lane has no published pricing, so budget owners who must approve a per-seat or usage figure before piloting should wait for the price sheet.[1]

• Readers wanting a settled stable release are unserved: rapid 0.x alpha iteration means interfaces and behavior move weekly, so anyone needing long-term stability guarantees should choose a mature platform.[1][2]

Workflow fit and switching notes