The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

Universal memory runtime for AI agents

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

Transparent and Efficient Financial Analysis

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

🎨 Vibe Design System - Official monday.com UI resources for application development in React.js

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

Deterministic safety solutions for probabilistic AI agents

NVIDIA Design System and UI Agent Harness for AI/ML Factories, Robotics, and Autonomous Vehicles

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Open Brain — The infrastructure layer for your thinking. One database, one AI gateway, one chat channel — any AI plugs in. No middleware, no SaaS.

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

🤖 Create agentic apps in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.

Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.