agentworkshq.com valid
AgentWorks
AgentWorks brings the agents and workflows people build on their own laptop (with Claude Code, Codex, Cursor or Claude) online for their whole team: shared once, used from Slack, WhatsApp, a dashboard or the team's own AI, run together on schedules and triggers, with every run recorded and people approving what matters. It is one platform for a company's people, their AI and the company's own agents: supported coding agents (Claude Code, Codex, Cursor, Muse Code, Antigravity) connect through the
- Authority
- 46 reach 0 · trust 6 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://agentworkshq.com/llms.txt
- llms-full.txt
- https://agentworkshq.com/llms-full.txt
- Sections
- 5
- Links
- 50
- Size
- 15005 bytes
- Registered
- 2026-07-11
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- Marketing
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-26T15:54:41.456Z
- Last checked
- 2026-10-26T15:54:42.311Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T15:54:41.464Z. Cached copy · Source on agentworkshq.com
# AgentWorks
AgentWorks brings the agents and workflows people build on their own laptop (with Claude Code, Codex, Cursor or Claude) online for their whole team: shared once, used from Slack, WhatsApp, a dashboard or the team's own AI, run together on schedules and triggers, with every run recorded and people approving what matters. It is one platform for a company's people, their AI and the company's own agents: supported coding agents (Claude Code, Codex, Cursor, Muse Code, Antigravity) connect through their own AgentWorks setup; hosted AI chats and personal assistants need a separate MCP connection; the team works through Slack, WhatsApp and dashboards and approves what matters; and the company's Goals, Crews, Flows and each person's private Code workspace share one network (AgentBridge), one memory of knowledge and skills (Brain), one set of rules for who can use which secrets, MCP tools and models (Vault, LLM Gateway) and one record of every run and its cost. Its products: Goals (an agent works inside your process toward a goal and a metric, measures every run and adjusts, with auto-improve), Crews (expert agents your whole team can ask, in Slack, WhatsApp, Claude, ChatGPT or Cursor), Brain (shared company knowledge every agent reads and writes), Code (a private AI workspace for every employee, on your server and the plans you already pay for, with cost, usage and output visible to the company), Vault (one governed door to every MCP tool and shared secret), LLM Gateway (coming soon: one endpoint for AI model calls, with model access and cost per person) and Flows (fixed agent flows you call from any system). It runs on the Claude, ChatGPT, Gemini or Cursor plan the customer already pays for. It is sold as an Enterprise deployment, customized and deployed in the customer's own cloud under a commercial license; Goals alone is also self-serve for trying it. The source is public under the Business Source License 1.1.
## 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/): Overview of the platform (Goals, Crews, Code, Vault, Flows) and the three layers: vendor-native agents with sandboxed commands, crews, and workflows, plus bring-your-own AI plan. On shared servers each person's coding CLI runs as their own Linux account (slots), isolated from other users and server files.
- [Goals](https://agentworkshq.com/goals/): give an agent a goal and a metric; it plans its part of the work, runs on schedule, measures every run and auto-improves its plan so you can see what moves the number; autonomy levels and the workflow plan.
- [Crews](https://agentworkshq.com/crews/): AI agents with skills, memory, tools and functions; talk to one in Slack or WhatsApp, or share it as an expert (DevOps, RDS, product) that anyone asks from Claude, ChatGPT, Cursor or the CLI through
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