Skillget

raven

agent
Guvenlik Denetimi
Uyari
Health Gecti
  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 47 GitHub stars
Code Uyari
  • network request — Outbound network request in frontend/package.json
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Bu listing icin henuz AI raporu yok.

SUMMARY

Raven is a self-hostable team Agent platform providing isolated workspaces and unified runtimes for multi-agent workflows.

README.md

Raven

Raven

Open Source · Self-Hosted · AI Harness
Models, tools, knowledge, skills, workflows — all in one runtime. The Agent doesn't just chat. It actually gets work done.

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Raven Chat

What It Is

Raven gives every person on your team an independent Agent workspace. Not a chat window — a workstation. The Agent reads files, writes code, runs commands, calls APIs, searches your knowledge base, analyzes data, writes reports, builds charts. You assign the task; it breaks it down, works in parallel, and delivers the result.

What you get is the outcome, not a block of text you have to copy-paste.

Why Raven

🎯 Team-first

Everyone gets an isolated workspace. The team shares projects and skill libraries. Admins control model quotas, tool permissions, and data access. Not a single-player toy.

🔧 Actually does things

Agents directly read/write files, run Shell, call MCP tool chains. Internal APIs, databases, private services — plug them all in. Not just another suggestion paragraph.

🧩 Skill Marketplace

Prompts, scripts, workflows packaged as skills. One-click install, centralized maintenance. One person hits a wall — the whole team skips it next time.

📚 Knowledge in the loop

Policies, docs, business materials go into RAG. Agents retrieve context in real time during execution. Answers have sources, not hallucinations.

🔌 Plugin Hooks

Before/after conversations, tool calls, SSE event streams — inject custom logic at any lifecycle point. Deep customization without forking core code.

🏠 Fully self-hosted

One Docker command and it's running. Data never leaves your server. Works with OpenAI, Claude, DeepSeek, Qwen, GLM, or any compatible API.

Quick Start

docker pull 8treenet/raven:latest

docker run -d --restart=always --name raven-agent \
  -p 8000:8000 \
  8treenet/raven:latest

Persistent Data

docker run -d --restart=always --name raven-agent \
  -p 8000:8000 \
  -v /opt/raven_data:/raven/data \
  8treenet/raven:latest

After startup, visit http://localhost:8000 and follow the setup wizard to create your admin account.

The container uses UTC by default. To set a different timezone, add -e TZ=America/New_York. Available timezones: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones

Raven Dashboard

Architecture

Raven Architecture

Design Principles

Fewer features is fine, but everything that ships has to earn its place. We're not building a platform stuffed with buttons — just making "team Agent collaboration" one thing done properly.

Open Raven, and where things are and how they work should be obvious without reading docs. That's our definition of "good."

Roadmap

  • Core code open-sourced
  • Security sandbox
  • Open API

Community

License

Apache-2.0

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