Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
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LlamaIndex is the document processing platform for AI
- agents
- application
- data
- fine-tuning
DSPy: The framework for programming—not prompting—language models
SGLang is a high-performance serving framework for large language models and multimodal models.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
- semantic-search
- information-retrieval
- ai
- python
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
"RAG-Anything: All-in-One RAG Framework"
- multi-modal-rag
- retrieval-augmented-generation
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
- agent-framework
- pydantic
- python
- genai
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
The LLM Evaluation Framework
- evaluation-metrics
- evaluation-framework
- llm-evaluation
- llm-evaluation-framework
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
- agentneo
- agents
- ai-performance-optimization
- llm-testing
Unified framework for building enterprise RAG pipelines with small, specialized models
- parsing
- retrieval-augmented-generation
- agents
- generative-ai-tools
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A framework for few-shot evaluation of language models.
- evaluation-framework
- language-model
- transformer
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Low-code framework for building custom LLMs, neural networks, and other AI models
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
- community-detection
- graph-clustering
- deepwalk
- networkx
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
- ai-gateway
- observability
- simulation
- ai-agents
A production-grade, high-efficiency Agentic RL framework for frontier LLMs with validated recipes.
A unified framework for building, evaluating, and recursively improving embodied agents. 🚀 Code release coming soon.
A Unified Framework for Efficient RSI Research
- agent
- recursive-self-improvement
How many bugs can LMs find & fix in large codebases?