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⚙️🦀 Build modular and scalable LLM Applications in Rust

Story Creation AI Agent for novel, scripts, interactive games, and IP content

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

Context Graph for AI Native SDLC

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

AdalFlow: The library to build & auto-optimize LLM applications.

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

Superfast AI decision making and intelligent processing of multi-modal data.

Synthetic data generation for tabular data

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, AudioGen, MusicGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and Bark!

Agent Orchestration Command Center

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

CodeMachine is an open-source tool that orchestrates AI coding agents into repeatable, long-running workflows. ⚡️

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

SDG is a specialized framework designed to generate high-quality structured tabular data.

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

ContextGem: Effortless LLM extraction from documents