Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
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Llama Coder is an open source Claude Artifacts alternative that generates small apps with one prompt, powered by Llama 3 on Together.ai. It uses Llama 3.1 405B from Meta for the LLM and an in-browser preview renderer.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Local Deep Research is a tool that achieves approximately 95% accuracy on the SimpleQA benchmark, with an example run using Qwen3.6-27B on an RTX 3090. It supports all local and cloud LLMs including llama.cpp, Ollama, and Google models, integrates over 10 search engines such as arXiv, PubMed, and private document sources, and operates with local and encrypted processing.
Collection of infrastructure and tools for research in neural network interpretability.
Open-source pipeline for rewriting AI-generated text into natural human prose. The repository documents a structure-first data pipeline that builds SFT and KTO training data for an AI-to-human rewrite model, with training data construction described in its docs.
A model-agnostic visual debugging tool for machine learning.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
Helps find, analyze or synthesize information for research and knowledge discovery.
MCP Memory Service is an open-source tool that provides persistent memory for AI agent pipelines including LangGraph, CrewAI, AutoGen and Claude, with a REST API, knowledge graph and autonomous consolidation functionality.
MemFree is a hybrid AI search engine and AI page generator. It provides accurate answers sourced from the internet and a user's personal knowledge base. It supports multiple AI models, search engines, and input formats including text, images, and local files. It can generate production-ready user interface pages from text or image inputs in seconds.
Open-source project that supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
GALACTICA is a general-purpose scientific language model trained on scientific text and data. This repository provides a Model API for GALACTICA, installable from pip or the repository, with five model sizes. The models can be used with the transformers library. It is a stand-alone model that is not instruction tuned, so correct prompts are needed for good results.
Framework that implements AutoML algorithms for model architecture search at scale.
Helps find, analyze or synthesize information for research and knowledge discovery.
Mutahunter is an open-source, language-agnostic mutation testing tool that uses large language models. It is installed as a Python package requiring Python 3.11 or later and run against a repository with a test command, source path and test path, reporting mutation coverage and survived or killed mutants.
Neofuzz is an open-source Python library that provides high-speed fuzzy text search functionality. It is hosted on GitHub under the x-tabdeveloping repository and is available for community use and contribution.
neuml/txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. It is open source and hosted on GitHub. The framework provides tools for building applications that understand and generate text.
A local-first agentic markdown workspace combining a Markdown-first editor, knowledge navigation, AI agent sessions, and explicit change review in a multipane application. It runs agent sessions for providers such as Codex, Claude, Grok, Kilo, OpenCode, and Pi, and supports reviewing tracked AI edits before keeping or rejecting them.
Onyx is an open-source AI platform that connects to applications to index and surface knowledge, with self-hosted deployment options. It provides agentic RAG search, deep research reports, custom agents, web search, a secure sandbox for code execution, artifacts, and voice mode. It works with major LLMs.
Open Code Review is an AI-powered code review CLI tool that reads Git diffs and sends changed files to a configurable LLM agent, producing structured line-level review comments. It also scans entire files and supports OpenAI and Anthropic compatible endpoints.
Gitingest converts any Git repository into a prompt-friendly text ingest for LLMs. Users can replace hub with ingest in any GitHub URL to access the corresponding digest. It provides a text digest from a repository URL or directory, with smart formatting for LLM prompts and statistics on file and directory structure, extract size and token count. It is available as a CLI tool and Python package.