Integrations
Integrations connect models and tools into real workflows: smart homes, editors, automation systems, knowledge apps, chat platforms, RAG data layers, and self-hosted AI workspaces.
Smart Home
Open-source smart home platform that can integrate AI assistants, voice control, automations, and local model workflows.
Best for: Builders who want AI-assisted smart home control, local voice experiments, and automation workflows.
Model support: Can connect to local and hosted AI services through integrations, add-ons, APIs, or community projects.
Home Assistant Ollama integrationDeveloper Tools
Developer editor where AI coding extensions, local model endpoints, and agent workflows plug into day-to-day software work.
Best for: Developers using AI assistants, coding agents, model APIs, and local endpoints inside an editor.
Model support: Model support depends on extensions such as Continue, Cline, Roo Code, AI Toolkit, and Copilot.
AI language models in VS CodeDeveloper Tools
Professional IDE ecosystem where coding assistants and AI plugins can connect model providers to software workflows.
Best for: Developers who prefer JetBrains IDEs and want AI assistance near code navigation, refactoring, and review.
Model support: Support depends on JetBrains AI features and third-party extensions such as Continue.
JetBrains AI AssistantDeveloper Tools
Code hosting and collaboration platform where AI coding agents, Copilot workflows, and repository automation connect to development.
Best for: Teams bringing AI assistance into pull requests, issues, repositories, and coding workflows.
Model support: Model options depend on GitHub Copilot features, policies, and integrations.
GitHub Copilot docsDeveloper Tools
DevSecOps platform where AI features and integrations can connect model assistance to repositories, issues, and delivery workflows.
Best for: Teams using GitLab for source control, CI/CD, planning, and software delivery.
Model support: Model support depends on GitLab AI features, self-managed settings, and connected services.
GitLab Duo docsProductivity
Markdown knowledge-base app with a plugin ecosystem that can connect notes to AI assistants, embeddings, and local workflows.
Best for: Individuals building personal knowledge bases, writing workflows, and local-first research systems.
Model support: AI support comes through community plugins and external/local model endpoints.
Obsidian community pluginsAutomation
Workflow automation platform often used to connect AI models, APIs, webhooks, databases, and business tools.
Best for: Teams wiring AI steps into repeatable automations and internal workflows.
Model support: Connects to AI providers and custom HTTP/API endpoints; local model use depends on the configured endpoint.
n8n docsAutomation
Flow-based programming tool for wiring devices, APIs, services, and local automation systems.
Best for: Builders who want visual automation flows that can call model APIs or local inference endpoints.
Model support: Can call local or hosted AI endpoints through HTTP nodes and community integrations.
Node-REDChat & Collaboration
Team collaboration platform where AI bots and workflow apps can connect model outputs to channels and internal support flows.
Best for: Teams routing AI summaries, alerts, approvals, and assistant responses into collaboration channels.
Model support: Model support depends on Slack apps, workflow builders, and connected API services.
Slack API docsChat & Collaboration
Bot ecosystem for bringing AI assistants, moderation helpers, and community workflows into Discord servers.
Best for: Communities and builders connecting model-powered bots to discussion, support, or moderation workflows.
Model support: Bots can call local or hosted AI endpoints depending on the developer's architecture.
Discord developer docsRAG & Data
Open-source Firebase alternative built on Postgres that can support AI app data, auth, storage, and pgvector-backed retrieval.
Best for: Builders who want Postgres, auth, storage, edge functions, and vector search close to an AI app.
Model support: Works with model providers or local inference through application code and functions.
Supabase AI docsRAG & Data
Postgres plus pgvector gives AI apps a familiar SQL database with embedding storage and similarity search.
Best for: Teams that want to keep RAG data, metadata, and application records in Postgres.
Model support: Stores embeddings from local or hosted embedding models; generation happens through application code.
pgvector GitHubLocal Runtime Integrations
Local API surface for connecting open-weight models to apps, scripts, chat UIs, automations, and developer tools.
Best for: Developers who want a simple local model endpoint behind apps and workflows.
Model support: Supports models available through Ollama's model library and compatible local builds.
Ollama API docsLocal Runtime Integrations
Local server mode for connecting desktop-tested models to apps through a local API workflow.
Best for: Builders who want visual model testing plus a local endpoint for prototypes.
Model support: Supports compatible local models loaded through LM Studio; exact support depends on the model and format.
LM Studio docsAI App Platforms
AI app platform for building assistants, workflows, RAG apps, and model-connected products.
Best for: Teams turning model providers, retrieval, prompts, and workflows into usable AI applications.
Model support: Connects to multiple hosted and self-hosted model providers depending on deployment and configuration.
Dify docsAI App Platforms
Self-hosted chat workspace that connects users to local and hosted model backends.
Best for: Private chat interfaces over Ollama, local models, or self-hosted model endpoints.
Model support: Often used with Ollama and other model backends; exact support depends on deployment.
Open WebUI docsFor builders
Submit it for review or sponsor a featured placement on OpenSourcesAI. You can also email sponsors@opensourcesai.com.