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Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

Postgres extension for vector search (DiskANN), complements pgvector for performance and scale. Postgres OSS licensed.

Visualize and compare datasets, target values and associations, with one line of code.

(Crystal is now Nimbalyst) Run multiple Codex and Claude Code AI sessions in parallel git worktrees. Test, compare approaches & manage AI-assisted development workflows in one desktop app.

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative

PentestAgent is an AI agent framework for black-box security testing, supporting bug bounty, red-team, and penetration testing workflows.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

An open-source visual programming environment for battle-testing prompts to LLMs.

Multi-framework streaming Markdown renderers for AI apps: Vue/Nuxt, React/Next.js, Svelte, and Angular, with Mermaid, KaTeX, stream-diffs code blocks, safe HTML, and low-jitter updates.

A framework for prompt tuning using Intent-based Prompt Calibration

Inspect: A framework for large language model evaluations

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

PyTorch native quantization for training and inference

DeepTeam is a framework to red team LLMs and AI agents.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Data manipulation and transformation for audio signal processing, powered by PyTorch

Kubernetes-native Job Queueing

The pretty much "official" DSPy framework for Typescript

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

The hub for EleutherAI's work on interpretability and learning dynamics

Ruler — apply the same rules to all coding agents

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.