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Govern enterprise agent runtimes, skill assets, observability, and private distribution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "evotown" yet — see the docs or source repo.
Design a unified enterprise Agent governance setup that connects OpenClaw, Hermes, SkillLite, and two custom runtimes. Output an integration checklist, permission boundaries, versioning strategy, and rollout steps.
A multi-runtime integration and governance plan with architecture, permissions, versioning, and rollout steps.
Design observability and review mechanisms for an enterprise Agent platform, covering call logs, failure tracing, skill usage analytics, human review checkpoints, and risk alert rules, with actionable implementation guidance.
A practical monitoring, auditing, and risk review design for the platform.
Plan an internal enterprise skill asset library that explains how to accumulate team Skills, link enterprise knowledge, set access controls, and publish them to different business teams through private distribution.
A skill asset library and private distribution plan covering knowledge capture, access control, and release workflows.
Provide portable long-term memory across AI agents, platforms, and workflows.
Enable AI agents to automate real-world tasks across APIs, browsers, and systems.
Build auditable self-evolving workflows and iteration systems for AI agents.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Discover, audit, and recommend the right skills for AI agents.
Manage agent skills across collection, recommendation, voting, and continuous evolution.