Coding Agent Loop
Description
AgentWorks: the open-source control plane for running, measuring, and improving AI agent workflows across your company.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
🚀 AgentWorks
**AgentWorks** is an AI operations platform for running many autonomous workflows like an organization. Define goals, build workflow agents, run them on schedules, and let Pulse, Auto-improve, Chief of Staff, and the dashboard help you manage by exception instead of watching logs.
[](https://github.com/manishiitg/coding-agent-loop/releases/latest)   [](#license--architecture-foundations)
The Goal
AgentWorks is built for teams that want to scale from a few manually checked automations to **100+ goal-driven workflow agents**. The product is an operating system for an AI-run organization:
- Workflows do the work: reusable agents execute research, coding, reporting, browser tasks, back-office operations, and channel conversations.
- Pulse keeps each workflow reliable: after runs, it checks whether the workflow actually worked, records Bug/Goal verdicts, hardens operational issues, reports cost/time, backs up, publishes, and notifies only on meaningful transitions.
- Auto-improve moves workflows toward goals: on a schedule, it reads cross-run evidence, refreshes stale reports/learnings/KB/db contracts, adjusts cadence, and applies bigger changes only when evidence is strong and backed up.
- Chief of Staff / Org Pulse manages the whole org: it reads workflow evidence against
pulse/goals.html, audits model/cost posture, harvests durable memory, and writes proposal-only recommendations for the user or builder. - The dashboard is the operating view: it rolls workflow health, goal progress, costs, recommendations, and exceptions into one place so a human manages decisions, not every run.
The high-level
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