https://github.com/hardmax71/agent-ops-dashboard
Multi-agent AI bug triage system with real-time dashboard, human-in-the-loop, and GitHub integration.
https://github.com/hardmax71/agent-ops-dashboard
alembic arq chromadb fastapi graphql langchain langgraph langsmith nginx postgresql prd react
Last synced: about 1 month ago
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Multi-agent AI bug triage system with real-time dashboard, human-in-the-loop, and GitHub integration.
- Host: GitHub
- URL: https://github.com/hardmax71/agent-ops-dashboard
- Owner: HardMax71
- License: mit
- Created: 2026-03-07T01:10:37.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2026-03-20T23:25:02.000Z (about 2 months ago)
- Last Synced: 2026-03-21T07:13:06.376Z (about 2 months ago)
- Topics: alembic, arq, chromadb, fastapi, graphql, langchain, langgraph, langsmith, nginx, postgresql, prd, react
- Language: Python
- Homepage: https://hardmax71.github.io/agent-ops-dashboard/
- Size: 1.9 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AgentOps Dashboard
[](https://github.com/HardMax71/agent-ops-dashboard/actions/workflows/ci.yml)
[](https://github.com/HardMax71/agent-ops-dashboard/actions/workflows/eval.yml)
[](https://hardmax71.github.io/agent-ops-dashboard/)
[](LICENSE)
[](https://fastapi.tiangolo.com/)
[](https://langchain-ai.github.io/langgraph/)
[](https://react.dev/)
[](https://www.postgresql.org/)
[](https://redis.io/)
[](https://www.docker.com/)
[](https://prometheus.io/)
## Overview
AgentOps Dashboard orchestrates multi-agent pipelines for automated bug triage. GitHub issues are routed through a LangGraph supervisor that coordinates specialized agents (investigator, codebase search, web search, critic, writer) to produce structured triage reports with human-in-the-loop support.
## Quickstart
### Docker (recommended)
```bash
cp .env.example .env
# Edit .env — set OPENAI_API_KEY at minimum
docker compose up -d --build
```
API on `:8000`, frontend on `:5173`.
### Local development
```bash
uv sync --all-groups
docker compose up db redis -d
uv run uvicorn agentops.api.main:app --reload # terminal 1
uv run arq agentops.worker.WorkerSettings # terminal 2
```
### Tests
```bash
uv run pytest tests/unit/ -v
```