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ollama GitHub repositories

Explore 92 tracked GitHub repositories tagged ollama. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 1,990 stars since the previous daily snapshot.

Tracked repositories
92
Total stars
708,532
Stars gained · 7 days
+7,305
Stars gained · 30 days
+29,067

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Star activity for ollama repositories on this page
RepositoryTotal starsToday7 days30 days
crmne/ruby_llm4.5K+1+12+69
ghbalf/freecad-ai591+1+11+66
strands-agents/tools1.3K+1+7+38
CaviraOSS/LongMemory4.5K+1+5+34
kennss/SiliconScope1.0K+1+4+39

Explore repositories

Showing 51–92 of 92 tracked repositories.

jonigl/mcp-client-for-ollama

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

IncarnaMind/IncarnaMind

From messy files to a checked report. A free, open-source desktop app for macOS, Windows and Linux: write and analyse with AI from your own files, check each sentence and figure against them, and export to Word. Meeting notes too. Works with ChatGPT, Claude, Gemini or a local model through Ollama.

benmaster82/Kwipu

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.

Haervwe/open-webui-tools

Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more

Bessouat40/RAGLight

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.