gabber-dev/gabber

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1111 stars · 106 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Gabber is an open-source engine for building real-time multimodal AI applications that can see, hear, and speak, using graph-based orchestration of nodes for media ingestion, transcription, LLM/VLM inference, and TTS. It includes a visual app builder, supports multi-participant multi-stream apps via WebRTC (LiveKit), and can run local LLMs with llama.cpp or vLLM.

Use cases

• build a realtime voice chat assistant with my microphone and camera
• create an AI app that watches my screen and answers questions
• build a personal trainer app that counts reps from video
• orchestrate STT, LLM, and TTS pipelines with sub-second latency
• build a multi-participant realtime AI companion
• visually compose AI workflows from nodes without writing glue code
• run a local LLM-powered voice agent on my own machine

When to choose

• you need sub-second realtime multimodal AI (voice, video, screen) orchestration
• you want a graph/visual builder for composing AI pipelines
• you want self-hosted realtime AI with local LLM support

When to avoid

• you only need simple batch LLM inference or a chatbot without realtime media
• you need a fully managed cloud service rather than self-hosting LiveKit and the engine
• your project is a lightweight script where a graph engine is overkill

Facets

framework · maturity active

agent-framework llm-inference speech-recognition tts computer-vision streaming workflow-automation web-framework artificial-intelligence large-language-models speech-processing computer-vision developer-tools python self-hosted realtime-ai multimodal graph-based-orchestration webrtc livekit voice-agent visual-builder vlm real-time docker macos linux web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gabber-dev/gabber")