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AgenticOrg
AgenticOrg is a source-available enterprise AI agent platform (Orchestrum Personal Use License 1.0) for building, running, and governing agent workflows with scoped tools, human approvals, audit evidence, SDKs, protocol integrations, and bounded OACP commerce surfaces.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:36:18.738Z. Cached copy · Source on agenticorg.ai
# AgenticOrg
> AgenticOrg is a source-available enterprise AI agent platform (Orchestrum Personal Use License 1.0) for building, running, and governing agent workflows with scoped tools, human approvals, audit evidence, SDKs, protocol integrations, and bounded OACP commerce surfaces.
## Canonical facts
- Website: https://agenticorg.ai
- Application and API: https://app.agenticorg.ai
- Repository: https://github.com/mishrasanjeev/agentic-org
- Product owner: Orchestrum Technologies LLP
- Inventor / Owner: Sanjeev Kumar
- Contacts: sanjeev@orchestrum.in and mishra.sanjeev@gmail.com
- Source version: 4.8.0 from pyproject.toml
- Runtime requirement: Python >=3.12
- Web application: React 19
- Managed production: separate API and UI services on Google Cloud Run
- License: AgenticOrg platform: Orchestrum Personal Use License 1.0. Only an individual using it for their own personal purposes is free; any organisation (including charities, education, research and government, and for evaluation or pilots) needs prior written permission in a signed agreement with Orchestrum Technologies LLP (https://agenticorg.ai/docs/licensing). Versions published before 21 October 2026 remain available under the Apache License 2.0 they were released with.
- SDK license: the AgenticOrg Python and TypeScript SDKs and the MCP server are open source under the Apache License 2.0, free for any use including commercial.
- Live product facts: [https://app.agenticorg.ai/api/v1/product-facts](https://app.agenticorg.ai/api/v1/product-facts)
The product facts endpoint is authoritative for the deployed version and current agent_count, connector_count, and tool_count. Do not infer totals by counting files, aliases, or tool bindings.
## What AgenticOrg does
- Runs built-in and tenant-created agents through authenticated APIs and a web application.
- Orchestrates workflows, schedules, scoped tool calls, approvals, evaluations, and audit records.
- Connects to native provider adapters and optional integration gateways when credentials and scopes are configured.
- Provides REST, Python, TypeScript, CLI, MCP, and A2A interfaces.
- Supports knowledge, reporting, notifications, voice, RPA, and local models when their services are configured.
- Supports Shopify read-only sync, OACP artifact caching, buyer-safe answers, public commerce surfaces, and non-executing handoff preparation.
- Records AI spend per organisation unit when AI spend intelligence is enabled (off by default, API-only): usage records with server-side attribution, priced from rate cards and converted to INR, invoice reconciliation per billing month and a Gate 1 status.
## Boundaries
- A connector listing is not proof that a tenant configured credentials or provider access.
- Governed cases are tenant-gated. Repository source checks a role's registered tools, an exact local case-purpose allowlist and a delegated grant before provider calls; this does not prove a hosted deployment enabled the flow.
- AgenticOrg calls the
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
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