AI Agent Management for Coding Teams
AI agent management for coding teams that need operating contracts, runtime permissions, drift review, and PR-ready evidence.
Manage coding agents like team members with permissions.
Bring agent identity, role, runtime access, and review evidence into one workspace instead of chasing local prompt files.
Know which agents are allowed to work in each repo.
AI agent management becomes necessary once agents are no longer solo experiments and start touching shared repos, tools, and releases.
- Multiple coding agents work in the same repo, but nobody can see one accountable roster.
- Permissions, roles, prompt files, skills, and runtime setup drift across Codex, Claude Code, OpenClaw, and local workspaces.
- Engineering managers can review the code diff, but not the agent contract that shaped the work.
Review the agent contract before the code diff.
A manager or reviewer should be able to inspect the agent, policy version, runtime, and recent evidence before approving work.
- Which agents are allowed to work in this workspace?
- What role, tools, skills, and policy version did each agent use?
- How do we retire, upgrade, or rollback an agent without losing review history?
Create a managed roster for human and AI collaborators.
Agents Control gives teams one place to enroll agents, assign scope, apply runtime-specific policy, and keep an audit trail.
- Define agent identity, role, skill, and runtime eligibility in one managed workspace.
- Compile governed objects into runtime-specific manifests for Codex, Claude Code, OpenClaw, and custom agents.
- Collect drift, release, and run evidence so a reviewer can approve without rereading every agent action.
Common questions
Clear answers for teams comparing agent management, orchestration, governance, security, and MCP controls.
What is AI agent management for coding teams?
It is the operating layer that controls agent identity, roles, permissions, workflow checkpoints, and review evidence across coding-agent runtimes.
How is this different from an agent builder?
An agent builder helps create agents. Agents Control focuses on managing agents once they work inside real repos, teams, tools, and release gates.