boshu2/agentops
The operational layer for coding agents. Memory, validation, and feedback loops that compound between sessions.
From isolated agents to shared work
The operational layer for coding agents. Memory, validation, and feedback loops that compound between sessions.
Your easy to use, always-on AI workforce 👾
🛡️The governance runtime for AI agents. Intercept actions, enforce guard policies, require approvals, and produce audit-ready decision trails.
Local-first memory governance for OpenClaw: Store / Pack / Observe cited, inspectable, rollbackable agent context.
Action Control for autonomous agents. Check posture. Gate risky actions. Prove execution. Fits your existing agent stack.
experiments in goose
4 captures since 2026-06-04
pyproject.toml
· python · 18 dependencies
uv.lock
· python · 0 dependencies
AI agent config detected
Key config paths
.agents
AGENTS.md
docs/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_a/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_b/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_c/AGENTS.md
.agents
.agents/skills
.agents/skills/cg
.agents/skills/cg-worker
.agents/skills/cg-worker/SKILL.md
.agents/skills/cg/SKILL.md
AGENTS.md
docs/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_a/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_b/AGENTS.md
examples/nanobot/multihop_agent_handoff_demo/workspace_c/AGENTS.md