light-heart-labs--dreamserver/ods/extensions/library

ODS Extensions Library

33 service extensions being tested for ODS. 17 are already in production — these are next.

Each extension is a self-contained directory with a manifest.yaml (service metadata), compose.yaml (Docker Compose fragment), and optional Dockerfiles, workflows, and documentation. Drop any of these into your ODS's extensions/services/ directory and run ods enable <service-id>.

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Services by Category

LLM Inference & Chat

Service	Description	GPU
ollama/	Ollama — pull-and-run LLM server	AMD, NVIDIA
localai/	LocalAI — OpenAI-compatible API for local models	AMD, NVIDIA
text-generation-webui/	Oobabooga — full-featured LLM UI with LoRA, GPTQ, quantization	AMD, NVIDIA
jan/	Jan — local ChatGPT alternative with model management	AMD, NVIDIA
librechat/	LibreChat — multi-provider chat UI (local + cloud)	AMD, NVIDIA, Apple

Voice & Audio

Service	Description	GPU
bark/	Bark TTS — expressive speech with laughter, emotion, 13 languages	NVIDIA
xtts/	Coqui XTTS — voice cloning and multilingual TTS	AMD, NVIDIA
piper-audio/	Piper — fast, lightweight TTS for edge devices	AMD, NVIDIA, Apple
rvc/	RVC — real-time voice conversion/cloning	AMD, NVIDIA
audiocraft/	Meta AudioCraft — text-to-music and sound effects	NVIDIA

Image Generation

Service	Description	GPU
comfyui/	ComfyUI — node-based Stable Diffusion workflows	AMD, NVIDIA
fooocus/	Fooocus — simplified Stable Diffusion (Midjourney-like UX)	NVIDIA
invokeai/	InvokeAI — professional Stable Diffusion with canvas	AMD, NVIDIA
forge/	Forge / A1111 — Stable Diffusion WebUI with optimizations	NVIDIA

AI Development & Agents

Service	Description	GPU
aider/	Aider — AI pair programming in your terminal	AMD, NVIDIA, Apple
continue/	Continue — AI coding assistant (VS Code / JetBrains)	AMD, NVIDIA, Apple
crewai/	CrewAI — multi-agent orchestration framework	CPU
gaia/	AMD GAIA — experimental local agent UI and framework	CPU
open-interpreter/	Open Interpreter — natural language → system commands	CPU
jupyter/	Jupyter — notebooks with local LLM kernel	AMD, NVIDIA

Vector Databases

Service	Description	GPU
chromadb/	ChromaDB — lightweight embedding database	AMD, NVIDIA, Apple
milvus/	Milvus — production-grade vector database	CPU
weaviate/	Weaviate — vector search with hybrid ranking	CPU

Workflow Automation

Service	Description	GPU
flowise/	Flowise — drag-and-drop LLM chain builder	AMD, NVIDIA, Apple
langflow/	Langflow — visual LangChain builder	AMD, NVIDIA, Apple
dify/	Dify — LLMOps platform with RAG and agents	AMD, NVIDIA

Self-Hosted Apps

Service	Description	GPU
immich/	Immich — Google Photos alternative with AI face/object detection	AMD, NVIDIA
paperless-ngx/	Paperless-ngx — document management with OCR	CPU
frigate/	Frigate — NVR with real-time AI object detection	NVIDIA
gitea/	Gitea — lightweight self-hosted Git	CPU
baserow/	Baserow — open-source Airtable alternative	CPU
sillytavern/	SillyTavern — advanced roleplay/chat frontend	AMD, NVIDIA, Apple

Data & ML

Service	Description	GPU
label-studio/	Label Studio — data labeling for ML training	CPU
anythingllm/	AnythingLLM — all-in-one RAG + chat + agents	AMD, NVIDIA

Platform Compatibility

Quick reference for hardware requirements. Data sourced from each service's manifest.yaml.

Service	NVIDIA	AMD	Apple Silicon	CPU Only	Min VRAM
aider	✓	✓	✓	—	—
anythingllm	✓	✓	—	—	2 GB
audiocraft	✓	—	—	—	6 GB
bark	✓	—	—	—	4 GB
baserow	—	—	—	✓	—
chromadb	✓	✓	✓	—	—
continue	✓	✓	✓	—	4 GB
crewai	—	—	—	✓	—
dify	✓	✓	—	—	4 GB
flowise	✓	✓	✓	—	—
fooocus	✓	—	—	—	8 GB
forge	✓	—	—	—	8 GB
frigate	✓	—	—	—	1 GB
gaia	—	—	—	✓	—
gitea	—	—	—	✓	—
immich	✓	✓	—	—	2 GB
invokeai	✓	✓	—	—	8 GB
jan	✓	✓	—	—	—
jupyter	✓	✓	—	—	4 GB
label-studio	—	—	—	✓	—
langflow	✓	✓	✓	—	—
librechat	✓	✓	✓	—	—
localai	✓	✓	—	—	4 GB
milvus	—	—	—	✓	—
ollama	✓	✓	—	—	8 GB
open-interpreter	—	—	—	✓	—
paperless-ngx	—	—	—	✓	—
piper-audio	✓	✓	✓	—	—
rvc	✓	✓	—	—	6 GB
sillytavern	✓	✓	✓	—	—
text-generation-webui	✓	✓	—	—	4 GB
weaviate	—	—	—	✓	—
xtts	✓	✓	—	—	—

Note: "Min VRAM" shows the minimum GPU memory needed for the service's base feature. Some advanced features may require more. Services marked "CPU Only" have no GPU acceleration. Apple Silicon support means the service can use Metal/MPS for acceleration.

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Workflows

Pre-built automation workflows for n8n, ComfyUI, Flowise, Langflow, and more:

workflows/
├── bark/          — Voice synthesis pipelines
├── comfyui/       — LLM-to-image generation
├── flowise/       — Chatflow API templates
├── langflow/      — Flow API templates
├── n8n/           — Webhooks, scheduling, form processing, DB sync
├── piper/         — TTS conversion
├── rvc/           — Voice conversion
├── sillytavern/   — Status monitoring
├── text-generation-webui/  — Chat completion, model listing
└── whisper/       — Speech-to-text conversion

Templates

Everything you need to build your own extension:

Template	Purpose
service-template.yaml	Complete manifest with every field documented
compose-template.yaml	Compose fragment with best practices
compose-gpu-only.yaml	GPU-only service pattern (no CPU fallback)
compose-gpu-swap.yaml	CPU base + GPU overlay pattern
dashboard-plugin-template.js	Dashboard UI plugin scaffold

Schema

schema/service-manifest.v1.json — JSON Schema for validating manifest files.

# Validate any manifest:
python3 -c "
import json, yaml
from jsonschema import validate
schema = json.load(open('schema/service-manifest.v1.json'))
manifest = yaml.safe_load(open('services/bark/manifest.yaml'))
validate(manifest, schema)
print('Valid!')
"

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How to Use

Add a service to your ODS:

# Copy the extension into your ODS
cp -r ods/extensions/library/services/bark ods/extensions/services/bark

# Enable and start it
ods enable bark
ods start bark

Build your own extension:

# Copy the template
cp -r ods/extensions/library/templates/ my-service/
mv my-service/service-template.yaml my-service/manifest.yaml
mv my-service/compose-template.yaml my-service/compose.yaml

# Edit, then validate
python3 -c "import yaml; yaml.safe_load(open('my-service/manifest.yaml'))"

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Status

These extensions are actively tested on ODS development builds. Some are battle-tested (Ollama, ChromaDB, Bark), others are newer. All follow the v1 manifest schema and integrate with the ODS service registry, dashboard, and CLI.

17 services have already graduated to production — these 32 are being prepared for the next wave.