Raven is a self-hosted, multi-user AI Agent harness. It assembles models, tools, knowledge, files, skills, and workfl...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
OpenClaw
Model
Gemini
Fastest way to find out if raven belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/8treenet/ravenRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/8treenet/ravenNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ raven/ ← installs here └─ settings.json
Raven is a self-hosted, multi-user AI Agent harness. It assembles models, tools, knowledge, files, skills, and workflows into a single runtime environment where agents can take on tasks, invoke tools, read documents, write code, and compound capabilities across sessions.