Raunak Bhagat
a4ed03e671
## Description
- **New toasts come in at the top:** the newest slides in at the top and
pushes the others down.
- **Overflow piles at the bottom:** past 3 toasts, the oldest tuck
behind the stack. The two newest piled toasts peek out as layered card
edges, and a "+N more" count (an Opal `Tag`) sits under them.
- **Leaving:** a toast that times out or is dismissed slides off toward
the end side (right in LTR, left in RTL) and fades while it keeps its
slot. Then its space closes, and the next piled toast rises into the
freed slot, in one motion. The stack never grows during this.
- **Layering:** toasts layer by their place in the stack, top highest,
so a card never jumps in front of the one above it.
- **Timers:** a toast counts down only while it is on show. A piled
toast keeps its time left and resumes when it rises into a slot.
- **Above other overlays:** `--z-toast` rises from 1100 to 1250, above
modals, popovers and banners, so an open dropdown no longer covers
toasts. Tooltips stay above toasts, so a toast's own Retry tooltip still
shows.
- **Design decision, the pile does not expand:** "+N more" is a count,
not a control. To reach an older toast, dismiss the newer ones. The
toast README records the reasons and the steps to bring expansion back.
- New Opal string `toastMoreCount` ("+N more"), in all 9 locales.
## Demo
https://github.com/user-attachments/assets/27cac036-8415-479a-be58-fd08e7d4c716
<!-- This is an auto-generated description by cubic. -->
---
## Summary by cubic
Toasts now stack like phone notifications: the newest slides in at the
top and pushes the older ones down, and past three the oldest tuck
behind the stack as layered card edges with a "+N more" Tag underneath.
- A toast counts down only while on show; piling pauses its timer, which
resumes when it rises back into a slot.
- A leaving toast holds its slot while sliding off toward the end side,
then its space closes as the next piled toast rises; a toast closed
while leaving never rejoins the pile, and one dismissed from the pile
leaves out of sight without playing an exit.
- `--z-toast` rises to 1250, above modals, popovers and banners, so an
open dropdown never covers toasts; tooltips stay above.
- The "+N more" count is not a control — the pile does not expand; the
README records the decision and how to bring expansion back.
- Adds the `toastMoreCount` Opal string in all 9 locales.
<sup>Written for commit 94c33147d1.
Summary will update on new commits.</sup>
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<!-- End of auto-generated description by cubic. -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
* **New Features**
* Toast notifications now stack into layered piles, with a localized “+N
more” indicator when additional notifications are piled.
* Only visible toasts count down; piled toasts resume their remaining
time when they become visible again.
* Toasts animate as they leave and appear above menus, dialogs, and
other overlays, but below tooltips.
* Piles are non-expandable.
* **Localization**
* Added translations for toast counts and tab-scrolling labels across
supported languages.
* **Documentation**
* Documented toast stacking, timing, animations, and non-expandable
piles.
<!-- 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.