Ollama is an open-source project that allows you to run large language models (LLMs) locally on your own hardware, providing a way to use AI capabilities privately without sending data to external services.
Why this server?
Enables AI-powered content processing including query rewriting, page summarization, and research synthesis using configurable Ollama models.
Why this server?
Allows AI agents to route inference requests through the VibOps proxy to Ollama, with cost attribution and logging.
Why this server?
Provides semantic search for memories when Ollama is running.
Why this server?
Provides automatic wiring of Ollama for AI models in deployed applications.
Why this server?
Integrates with Ollama for local AI-powered natural language to SQL query generation.
Why this server?
Enables the MCP server to use Ollama as a local provider for embeddings and inference, powering semantic compression and graph-based knowledge retrieval.
Why this server?
Enables AI-driven analysis of project images (tilesets, screenshots, etc.) using Ollama's vision models via the analyze_screenshot tool.
Why this server?
Leverages local Ollama LLM for offline diagnosis and remediation, avoiding external API calls.
Why this server?
Provides a preset tunnel configuration for Ollama with authentication enabled on port 11434, enabling secure external access to local Ollama instances.
