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Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped …
Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
🚀 The fast, Pythonic way to build MCP servers and clients
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr…
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
aider is AI pair programming in your terminal
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Official Implementation of "KBLaM: Knowledge Base augmented Language Model"
The official Python SDK for Model Context Protocol servers and clients
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
⏩ Ship faster with Continuous AI. Open-source CLI that can be used in TUI mode as a coding agent or Headless mode to run background agents
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)
A modular graph-based Retrieval-Augmented Generation (RAG) system
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Integrate cutting-edge LLM technology quickly and easily into your apps
Stanford NLP Python library for Representation Finetuning (ReFT)
Supercharge Your LLM Application Evaluations 🚀
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
An extremely fast Python linter and code formatter, written in Rust.