RLAMA

What it does

Retrieval-Augmented Local Assistant Model Agent

Complete AI Platform: RAG Systems & Intelligent Agents for Local AI

The complete AI platform for creating RAG systems and intelligent agents. Build, deploy, and manage AI-powered solutions with local models - from document Q&A to autonomous agent crews. Project Currently Paused: This project is temporarily on hold due to our current commitments with full-time work and university studies. We're unable to dedicate time to active development at the moment, but we plan to resume when our schedule allows. A complete AI platform that combines RAG systems with intelligent agents, creating powerful automated workflows for any task - from document analysis to complex multi-agent collaboration. Create, manage, and interact with Retrieval-Augmented Generation systems…from rlama.dev

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  Open-Source DocumentAI with Ollama2025 · rlama.dev · ▲295

  Complete AI Platform: RAG Systems & Intelligent Agents for Local AI

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  Ollama v0.19Apr 2026 · ollama.com · ▲410

  Massive local model speedup on Apple Silicon with MLX

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  Ollama Desktop App2025 · ollama.com · ▲481

  The easiest way to chat with local AI

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  1CodeJan 2026 · github.com · ▲569

  Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…

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  AnythingLLM – Open-Source, All-in-One Desktop AI Assistant2024 · github.com · ▲368

  Hey HN! This is Tim from AnythingLLM (https://github.com/Mintplex-Labs/anything-llm). AnythingLLM is an open-source desktop assistant that brings together RAG (Retrieval-Augmented Generation), agents, embeddings, vector databases, and more—all in one seamless package. We built AnythingLLM over the last year iterating and iterating from user feedback. Our primary mission is to enable people with a layperson understanding of AI to be able to use AI with little to no setup for either themselves, their jobs, or just to try out using AI as an assistant but with *privacy by…

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  Ollamac2023 · github.com · ▲205

  A macOS app for interacting with the Ollama models

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