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Keep in sync with: packages/agent-skill/SKILL.md (source of truth), llms-full.txt, scripts/examples-AGENTS.md, scripts/examples-root-README.md
Attrove turns commitments buried across email, chat, meetings, calendars, and pushed context into watched outcomes with cited evidence. Connect creates one permission-aware stream from Gmail, Microsoft Outlook, Slack, Google Calendar, and Google Meet; Microsoft Teams is in pilot. Commitments structure individual promises so agents can carry them across sessions. Goals keep broader outcomes under review with system-computed health and human-controlled lifecycle.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T15:51:04.135Z. Cached copy · Source on attrove.com
# Keep in sync with: packages/agent-skill/SKILL.md (source of truth), llms-full.txt, scripts/examples-AGENTS.md, scripts/examples-root-README.md
# Synced sections: authentication, SDK methods, MCP tools, error handling. This file adds Optional/Links sections specific to llms.txt.
# Attrove
> Attrove turns commitments buried across email, chat, meetings, calendars, and pushed context into watched outcomes with cited evidence. Connect creates one permission-aware stream from Gmail, Microsoft Outlook, Slack, Google Calendar, and Google Meet; Microsoft Teams is in pilot. Commitments structure individual promises so agents can carry them across sessions. Goals keep broader outcomes under review with system-computed health and human-controlled lifecycle.
## Product Model
- **Connect**: sync and normalize only what each user is authorized to read, preserve source citations, and expose the stream through the SDK, REST API, MCP, and webhooks. Signed push ingest adds scoped messages, meetings, events, and notes when OAuth is not the path.
- **Commitment**: a promise, delegation, handoff, or wait with a counterparty, expected signal, and horizon. A later session can read the open ledger and record what actually happened.
- **Goal**: a named outcome evaluated repeatedly against scoped evidence. Attrove computes health and suggests next actions; a person controls lifecycle changes.
- **Query and search**: answer an on-demand question over the same stream and return the source records that support the answer.
Attrove is read-first. Live connectors are read-scoped today. Product writes create Attrove-owned users, sessions, pushed context, Goals, Commitments, and webhook configuration; they do not send provider messages, create provider drafts, or modify upstream source records. Webhooks deliver events to endpoints you configure. SMS, email, and Slack alert routes are not bundled self-serve plan features.
## Quick Start (Personal Use / Developer Testing)
To use Attrove with your own email, Slack, and calendar:
1. **Install Attrove into your AI client**
- Claude Code: `npx @attrove/cli install claude-code`
- Cursor: `npx @attrove/cli install cursor`
- Claude Desktop: `npx @attrove/cli install claude-desktop`
- Codex: `npx @attrove/cli install codex`, then `codex mcp login attrove`
- ChatGPT or manual remote clients: `https://api.attrove.com/mcp`
2. **Open the client and sign in once** when prompted: OAuth 2.1 sets up your Attrove account automatically. No dashboard visit required.
3. **Ask a question.** If nothing is connected yet, the agent calls `attrove_connect` to get one link. Open it, pick a source (Gmail, Outlook, Slack, Google Calendar, Google Meet, or Microsoft Teams), and sign in; the agent then calls `attrove_integrations` to confirm it's syncing and continues.
4. **Verify the first useful answer**
- Ask: "Use Attrove to list my connected integrations."
- Then ask: "What needs my attention this week? Include the source mes
…
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| graphlit.com | Graphlit | interface AI agents and MCP AI and machine learning +1 | US | 52 | ✓ | ||
| manifest.ly | Manifestly | AI Powered SOP & Recurring Workflow Software | documentation Productivity No-code and automation | — | 48 | ✓ | ✓ | |
| runbear.io | Runbear | interface Marketing AI agents and MCP | US | 51 | ✓ | ✓ | |
| adapt.com | Adapt | interface AI agents and MCP | US | 53 | ✓ | ||
| withone.ai | One - The trust layer for AI agents | interface AI and machine learning AI agents and MCP +1 | US | 48 | ✓ | ||
| attention.com | Attention | interface AI and machine learning Marketing +2 | US | 56 | ✓ | ||
| gumloop.com | Gumloop | documentation AI and machine learning AI agents and MCP +1 | US | 59 | ✓ | ||
| gowindmill.com | gowindmill.com | interface AI and machine learning Recruiting and careers +1 | US | 52 | ✓ |
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