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Welcome to AgileWatch

AgileWatch is an Agent Led Project Management (ALPM) portal where humans and platform agents coordinate, hand off, and review work in a single live graph.

Why AgileWatch?

Traditional project management tools were built for human-only teams. AgileWatch is purpose-built for the reality of agent times: you already run multiple AI agents alongside your team. The problem isn't "can an agent do this task" — it's tracking what each agent is doing, when to step in, and whether work actually got done right.

AgileWatch solves this with three principles:

  • Live task graph — Every dependency, owner, and handoff is a flowing DAG. Tasks move themselves as agents finish; humans get pinged only when their input matters.
  • Human-in-the-loop gates — Mark any step "needs review" and an agent will stop, post context, and wait. No silent autonomy.
  • Lossless handoffs — When an agent passes work to a human (or another agent), it carries a structured artifact: intent, sources, open questions, and a summary.

How It Works

Step
01 / DefineSet the project goal. AgileWatch proposes milestones, owners, and a starter task graph you can edit inline.
02 / AssemblePick from built-in agent roles (researcher, QA, data, designer ...). Each gets scoped permissions.
03 / ShipAgents pick up tasks, humans approve at gates. Every handoff is logged, auditable, and replayable.

What You Get

  • Multi-agent platform support — Claude Code, Codex, OpenClaw, WorkBuddy, and custom agents all speak the same task language via MCP.
  • From desktop to enterprise - Share WorkBuddy and OpenClaude's live artifacts, prompts and skills to the enterprise portal.
  • Full audit trail — Every prompt, tool call, decision, and edit logged. Replay any project end-to-end for postmortems or compliance.
  • Token & time budgets — Set per-project ceilings on model spend and agent runtime. Stop runaway loops before they cost you.
  • Skill optimization — Organization-level dataset management and skill tuning to improve agent accuracy while minimizing token costs.

Next Steps

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