Wenxi
e9c36400a7
## Description Give each user and scheduled task its own action settings. Workspace-disabled actions always remain blocked. Admins can require workspace settings or let users choose their own settings. Scheduled tasks now show app and MCP cards. Apps start disabled. When creating a task, enabling an app copies the user's current settings. Existing tasks keep their saved choices when apps are enabled again; missing choices require approval. Later requests use the task's saved settings and current workspace restrictions. One migration replaces app-wide task pre-approvals with per-action settings. Existing tasks receive auto-approval only for known actions in apps they already pre-approved. Apps remain enabled even if they have no known actions. New actions require approval. The migration remains with the code that reads the new tables. Action recognition identifies the request. One policy resolver then applies workspace restrictions, task membership, personal or task settings, and session grants. Failed recognition or policy lookup blocks the request. A completed scheduled session cannot use personal settings for later requests. The next PR adds app settings editors. This PR includes the task editor because its payload changes with the task API. ## How Has This Been Tested? The complete stack passed 71 local Kind scenario checks, covering browser editing, persistence, access restrictions, real proxy requests, and scheduled execution. Checks include a real 180-second approval timeout, live policy changes, and completed-task request rejection. This PR’s intermediate tree passed 1,053 backend unit tests, 148 database tests, five route-contract tests, and 39 frontend tests. Python and TypeScript checks and changed-file pre-commit checks passed. No migration was applied to the user's database during this verification. ## Additional Options - [ ] [Optional] Please cherry-pick this PR to the latest release version. - [x] [Optional] Override Linear Check <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Added per-action approval settings for connected apps and MCP tools, with workspace, personal, and scheduled-task controls. * Scheduled tasks can enable apps and configure individual actions when creating or editing tasks; settings are also visible on task details. New tasks start with apps disabled. * Policy editors support searching, bulk changes, and resetting editable choices. * **Security & Permissions** * Workspace restrictions remain binding, and task settings are checked during active runs. * Actions requiring approval still prompt users when app credentials are unavailable. <!-- end of auto-generated comment: release notes by coderabbit.ai -->
Onyx - The context layer powered by all your apps
"LLMs know about everything public, but what if it could also know what's going on in our team? I want an AI coworker, not an AI new hire."
Onyx is the knowledge/context layer for your team and AI agents.
Onyx connects to your application to index and surface knowledge from 50+ applications while protecting your data sovereignty through flexible self-hosted deployments.
Beyond search, Onyx enables LLMs with advanced features like web search, sandboxes, skills, and more.
Tip
Deploy with a single command:
curl -fsSL https://onyx.app/install_onyx.sh | bash
How does Onyx work
Onyx creates a representation of knowledge across all connected sources. It pulls data along with metadata, permissions, etc. and ingests it so that the information is easily accessible for downstream use cases.
Compared to MCP based searches and index-free approaches, Onyx provides a more reliable, low latency, and low cost context for any given query whether it's a simple keyword query or a complex research task.
Instead of an agent coordinating and iteratively searching dozens of MCP and burning many thousands of tokens, Onyx fetches the context across its internal representation instantly and filters down to only the most relevant ground truth documents.
⭐ Features
- 🔍 Agentic RAG: Get best in class search and answer quality based on hybrid index + a custom agent harness tuned for information retrieval.
- 🔬 Deep Research: Get in depth reports with a multi-step research flow.
- 🤖 Custom Agents: Build AI Agents with unique subsets of knowledge, custom instructions, and the ability to take actions.
- 🌍 Web Search: Augment internal knowledge with live web search.
- Supports Serper, Google PSE, Brave, SearXNG, and others.
- Comes with an in house web crawler and support for Firecrawl/Exa.
- ▶️ External Actions & MCP: Let Onyx agents take actions in external applications to complete tasks end to end.
- 💻 Secure Sandbox: Execute code and work with intermediate artifacts in a sandbox for complex workflows.
- 📄 Artifacts: Generate documents, graphics, and other downloadable artifacts.
- 🎙️ Voice Mode: Interact with Onyx via text-to-speech and speech-to-text.
Onyx supports all major LLM providers, both self-hosted (like Ollama, LiteLLM, vLLM, etc.) and proprietary (like Anthropic, OpenAI, Gemini, etc.).
To learn more - check out our docs!
Security and Data Processing
When connecting up your organization's knowledge, it's critical that this sensitive IP is not leaked to the wrong parties both external and internal.
Onyx provides an air-gappable, self-hosted deployment where the document index, database, and processing all happen within a self-contained set of services.
You can also choose a trusted embedding model and LLM provider (both of which can also run locally).
Access Onyx from anywhere
The same security and fine grained permissions apply no matter where the question comes from.
- Web and desktop app - Ask questions, interface with Onyx AI agents, and everything else in the feature list above.
- Slack and Discord bot - Get answers directly in Slack or Discord from a bot connected to your org's knowledge.
- MCP server - Point Claude Code, Open Code, Codex, or any MCP client at Onyx. Your AI agents get company context with the same access controls as the person running them.
- Chrome extension - Query Onyx from any tab with context from the page, directly in Chrome.
- Embeddable Widget - Easily add Onyx functionality to your app or website.
🚀 Deployment Modes
Onyx supports deployments in Docker, Kubernetes, Helm/Terraform and provides guides for major cloud providers. Detailed deployment guides found here.
Onyx supports two separate deployment options: standard and lite.
Standard Onyx
The complete feature set of Onyx which is recommended for serious users and larger teams. Additional components not included in Lite mode:
- Vector + Keyword index for RAG.
- Background containers to run job queues and workers for syncing knowledge from connectors.
- AI model inference servers to run deep learning models used during indexing and inference.
- Performance optimizations for large scale use via in memory cache (Redis) and blob store (MinIO).
Onyx Lite
The Lite mode can be thought of as a lightweight AI Chat UI. It requires less resources (under 1GB memory) and runs a less complex stack but is not capable of indexing documents. It is great for users who want to test out the Onyx UI quickly or for teams who are only interested in the Chat UI and Agents functionalities.
Tip
To try Onyx for free without deploying, visit Onyx Cloud.
🏢 Onyx for Enterprise
Onyx is built for teams of all sizes, from individual users to the largest global enterprises:
- 👥 Collaboration: Share chats and agents with other members of your organization.
- 🔐 Single Sign On: SSO via Google OAuth, OIDC, or SAML. Group syncing and user provisioning via SCIM.
- 🛡️ Role Based Access Control: RBAC for sensitive resources like access to agents, actions, etc.
- 📊 Analytics: Usage graphs broken down by teams, LLMs, or agents.
- 🕵️ Query History: Audit usage to ensure safe adoption of AI in your organization.
- 💻 Custom code: Run custom code to remove PII, reject sensitive queries, or to run custom analysis.
- 🎨 Whitelabeling: Customize the look and feel of Onyx with custom naming, icons, banners, and more.
📚 Licensing
There are two editions of Onyx:
- Onyx Community Edition (CE) is available freely under the MIT license and covers all of the core features for RAG, AI Chat, Agents, and Actions.
- Onyx Enterprise Edition (EE) includes extra features that are primarily useful for larger organizations.
For feature details, check out our website.
👪 Community
Join our open source community on Discord!
💡 Contributing
Looking to contribute? Please check out the Contribution Guide for more details.