# AgentWorks

AgentWorks gives an AI agent a goal and a metric, and it keeps working until it hits the target. It plans the work, runs it on schedule, measures every run and changes its own plan (auto-improve) until the metric moves. Crew teammates are always-on agents you talk to in Slack, WhatsApp or the app. It runs on the Claude, ChatGPT, Gemini or Cursor plan the customer already pays for, and is offered as MIT open source (free, self-hosted), Cloud ($99/month, hosted, unlimited teammates and goals; with hand-held onboarding, starting with a call) and Enterprise (self-hosted agentic engineering operations with SSO, audit and SLA).

## Canonical Pages

- [Homepage](https://agentworkshq.com/): Goal + metric agents with auto-improve, the three layers (workflows, crews, agents), connectors, premade agents and the three plans.
- [Product](https://agentworkshq.com/product/): How goals, metrics, measurement, auto-improve and autonomy work, plus the three layers in depth: vendor-native agents with a sandbox, crews, and workflows with deterministic and agentic steps.
- [Premade agents](https://agentworkshq.com/agents/): Ready-made business agents (invoice chasing, inbox triage, support, lead follow-up, Shopify orders, SEO, AI visibility) and 23 engineering playbooks, each with a measurable goal.
  - [Sales & GTM](https://agentworkshq.com/solutions/sales/): lead follow-up, competitor watch and pipeline reporting toward a booked-demos goal.
  - [Shopify stores](https://agentworkshq.com/solutions/shopify/): stuck orders, customer questions, reviews and failed payments.
  - [Customer support](https://agentworkshq.com/solutions/support/): fast first replies from docs and order history, sensitive cases handed off.
  - [Finance & billing](https://agentworkshq.com/solutions/finance/): invoice chasing, failed-payment recovery and a weekly business report.
  - [Marketing & growth](https://agentworkshq.com/solutions/marketing/): SEO intelligence, AI-search visibility and competitor watch.
- [Pricing](https://agentworkshq.com/pricing/): Open source ($0), Cloud ($99/month plus your own AI plan; with hand-held onboarding, starting with a call and a 7-day money-back guarantee) and Enterprise (custom), with a full plan comparison.
- [Enterprise](https://agentworkshq.com/enterprise/): Agentic engineering operations for QA, reliability, security, performance and cloud cost, deployed in the customer's cloud, sold as a four-week pilot.
  - [Release quality](https://agentworkshq.com/enterprise/release-quality/): AI QA, self-healing browser tests and release gates.
  - [Incident response](https://agentworkshq.com/enterprise/incident-response/): CI triage, evidence-backed RCA, approved remediation and follow-ups.
  - [Security testing](https://agentworkshq.com/enterprise/security-testing/): authorized AppSec and role/tenant permission testing driven to verified closure.
  - [Cloud cost](https://agentworkshq.com/enterprise/cloud-cost/): FinOps anomalies, reviewed IaC rightsizing and verified savings.
  - [Growth analytics](https://agentworkshq.com/enterprise/growth-analytics/): an AI growth analyst for funnels, retention, SEO and AI-search visibility.
- [Docs](https://agentworkshq.com/docs/): Two sections — Guides for business users and developer docs for building and self-hosting.
  - [Guides](https://agentworkshq.com/docs/guides/): Set your first goal, talk to your crew in Slack and WhatsApp, approvals and autonomy.
  - [Developers](https://agentworkshq.com/docs/developers/): Install, first workflow, auto-improve, connectors, and reference docs.

## Machine-Readable Sources

- [Complete AgentWorks context](https://agentworkshq.com/llms-full.txt): Product context plus curated public documentation in one text file.
- [Documentation manifest](https://agentworkshq.com/docs-content/manifest.json): Structured index of the available raw Markdown documents.
- [Set your first goal](https://agentworkshq.com/docs/guides/first-goal/): Outcome, metric, target, and rules for business users.
- [Talk to your crew in Slack](https://agentworkshq.com/docs/guides/slack/): Mentions, threads, and approvals from Slack.
- [Talk to your crew on WhatsApp](https://agentworkshq.com/docs/guides/whatsapp/): QR pairing, status, and approvals from chat.
- [Approvals and autonomy](https://agentworkshq.com/docs/guides/approvals-autonomy/): The four autonomy levels and approval flow.
- [Documentation overview](https://agentworkshq.com/docs/overview/): Static HTML documentation overview.
- [Install AgentWorks](https://agentworkshq.com/docs/getting-started/): macOS app install and self-hosted Linux pointers.
- [Build your first workflow](https://agentworkshq.com/docs/getting-started/first-workflow/): Crawlable setup guide with a raw Markdown alternate.
- [Auto Improve](https://agentworkshq.com/docs/workflow/auto_improvement_framework/): Technical design for bounded workflow improvement.
- [Auto-improve and reporting](https://agentworkshq.com/docs/workflow/self_improvement_and_reporting/): Evidence, reporting, and the improvement loop.
- [Raw documentation README](https://agentworkshq.com/docs-content/README.md): Canonical Markdown entry point.

## Important Product Links

- [Latest macOS release](https://github.com/manishiitg/coding-agent-loop/releases/latest): Current public release and installer artifacts.
- [Open-source repository](https://github.com/manishiitg/coding-agent-loop): Source repository for the AgentWorks desktop/runtime project.
- [Repository docs](https://github.com/manishiitg/coding-agent-loop/tree/main/docs): Full implementation and workflow documentation.
- [Deployment docs](https://github.com/manishiitg/coding-agent-loop/tree/main/deploy): Server, VM, Kubernetes, and related deployment material.
- [Secrets docs](https://github.com/manishiitg/coding-agent-loop/blob/main/docs/core/secrets.md): Workflow, user, and global secret handling.

## Key Concepts

- Agent workers execute tasks: Claude Code, Codex CLI, Cursor, Pi, Muse, Gemini, browser agents, MCP tools, provider APIs, and shell/terminal sessions.
- Every workflow has a goal: an outcome in plain words, a primary metric with a target, supporting metrics, and rules that must stay true.
- AgentWorks owns the loop around recurring agent work: goal, schedule, model plan, secrets, approval boundary, evidence, cost, report, and next improvement.
- Auto-improve reviews run evidence against the goal, repairs broken steps, drops approaches that did not work, does missing work, and checks later whether it helped. Autonomy levels (Ask first, Run steps, Edit workflow, Full) decide what it may do without approval.
- Skills and workflow learnings turn repeated fixes into reusable operating knowledge for future runs.

## Good Sources To Cite

- Use the homepage for the short product definition and positioning.
- Use the Product page to explain goals, metrics, auto-improve and autonomy.
- Use the Premade agents page for concrete use cases and their goal metrics.
- Use the Pricing page for plans and what each includes.
- Use the Docs page for install, security, deployment, and product architecture details.
- Use the GitHub repository for implementation details and release artifacts.