Shipped: Rhizome Stack
A local-first AI agent stack that turns OpenClaw + Open WebUI into one coherent personal AI environment.
Rhizome combines local or hosted LLMs with persistent memory, agent skills, semantic retrieval, voice, a sandboxed code interpreter, and local image, music and video generation. It manages the glue between them — including safely handing limited GPU memory between chat and creative models, then returning the result directly to the conversation.
Built for Linux and WSL2, with an emphasis on owner-operated hardware, privacy, recoverability and avoiding unnecessary cloud dependencies. The current alpha.15 candidate exports a verified 227-file release, with automated regression, manifest and privacy checks.
Local AIAI AgentsMultimodalOpen SourcePrivacyLinux
3 comments
How does Rhizome recover GPU ownership if a creative task crashes or times out during the handoff from chat? A reproducible example showing chat → image generation → failure → chat recovery, including peak VRAM, would be useful for evaluating it on constrained hardware.
What is the minimum, setup Time and cost for this, and what if something goes wrong?
How do you Safeguard Memory and How do you keep it persistent?