LeanCTX is an open-source context gateway that sits between AI tools and the information they read. It selects task-relevant context, applies supported access and content controls, and records observable context operations and evidence. The engine can run locally through CLI, MCP, hooks and proxy paths, and an SDK embeds supported engine capabilities in applications.
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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.
A model-agnostic visual debugging tool for machine learning.
A repository of material for the exercise classes of a Big Data Analytics master course. Hands-on sessions cover Spark and its machine learning library, Map/Reduce implementations of linear regression and alternating least squares, streaming analytics with Recursive Least Squares, and image classification with convolutional neural networks. Material is provided as Jupyter notebooks.
PraisonAI is an open-source project hosted on GitHub under the MervinPraison/PraisonAI repository. It enables the deployment of autonomous, self-improving AI agents capable of researching, planning, coding, and executing tasks. The tool includes built-in memory and retrieval-augmented generation (RAG) capabilities, supports over 100 large language models, and can be deployed with 5 lines of code.
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.
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.
Localforge is an open source local coding agent with a user interface. It is hosted on the GitHub repository rockbite/localforge, where contributors can engage in its development by creating a GitHub account.
An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
The AI coding agent built for the terminal.
Continue is an open source coding agent. It is hosted on the GitHub repository continuedev/continue, which includes project documentation and notes a final 2.0.0 release. Contributors can engage with the project by creating a GitHub account.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Vanna is an open source tool that enables users to interact with SQL databases via natural language. It uses large language models and agentic retrieval to generate accurate text-to-SQL queries.
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.
Open-source platform to run coding agents as managed workers with tasks, approvals, budgets, and workspaces.
Plandex is an open source AI coding agent built for large projects and real-world tasks. It includes smart context management for large codebases, configurable autonomy levels, and tools to support producing production-ready results.
Build tool for data science pipelines.
This GitHub repository hosts the ragapp project, a solution described as the easiest way to use Agentic RAG in any enterprise environment. The repository contains code and documentation for the tool, which is intended for enterprise deployment of agentic retrieval-augmented generation workflows.
Supports software work with AI-assisted coding, testing or application development.
Scikit-Image is an open-source Python library for image processing. Hosted on GitHub, the project provides installation resources, license information, and documentation for users, and accepts community contributions to the codebase.
segment-anything (SAM) is an open-source GitHub repository from Meta's Facebook Research team for the Segment Anything Model. It provides code for running model inference, links to download trained model checkpoints, and example notebooks demonstrating model usage, with support for segmenting objects in images and videos via SAM 2.
Supports software work with AI-assisted coding, testing or application development.
Shap-E is OpenAI's official code and model release for generating conditional 3D implicit functions. It generates 3D objects conditioned on text or images, with example notebooks for text-to-3D and image-to-3D sampling. It is released under the MIT license and installs with pip.
Supports software work with AI-assisted coding, testing or application development.