ai-agent

onyx

Open Source AI Platform - AI Chat with advanced features that works with every LLM
32,327 stars+67★ this week4,523 forksPythonUpdated 10/5/2026100% free · open source
What it does

Onyx is an open‑source AI chat platform that lets you run a UI and API on top of any LLM (e.g., OpenAI, Anthropic, Llama) with advanced chat features.

When to use it
  • •You need a self‑hosted chat UI for internal teams or customer‑facing bots.
  • •You want to swap between different LLM providers without rewriting code.
  • •You require built‑in tools like memory, file uploads, or function calling out of the box.
Ready-to-paste prompt
curl -X POST http://localhost:8000/api/chat \
  -H "Content-Type: application/json" \
  -d '{"message":"Draft a 2‑sentence pitch for a fintech startup that uses AI to detect fraud in real time."}'
Heads up: Onyx requires a valid LLM API key (e.g., OpenAI, Anthropic) set in the `.env` file; without it the server will start but every chat request returns a 401 error.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/0dd34580-2886-4142-b0e3-71f7240e6671 && curl -fsSL https://workflowstacks.com/api/skills/0dd34580-2886-4142-b0e3-71f7240e6671/claude-skill -o ~/.claude/skills/0dd34580-2886-4142-b0e3-71f7240e6671/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How onyx works
Codeflow
Free to inspect

Onyx is a very large Python project (~720k lines across 4880 code files, plus 1782 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~720k lines · 4880 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python · Node.js
No API keys detected
Python 64%TypeScript 26%Go 6%JavaScript 1%HCL 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    cli/main.go
    Where the program starts running
  4. 4
    package.json
    Dependencies and the commands it exposes
  5. 5
    examples/assistants-api/topics_analyzer.py
    A worked example — copy this to get going
What's in each folder
backend/Backend / API3689 files
web/Frontend / UI2458 files
cli/Command-line entry points170 files
extensions/Sub-packages / plugins27 files
integrations/Sub-packages / plugins7 files
docs/Documentation76 files
examples/Examples you can copy13 files
mobile/Folder452 files
READMEHas testsDocumentedCI checksExamples includedOther licenseUpdated this month
Quick Actions
Details
Creator
onyx-dot-app
Language
Python
Category
ai-agent
Published
4/27/2023

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