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

Build resilient agents.

Umbrella package for SciTeX — reproducible science from raw data to manuscript

Your library to write discord apps in C# with focus on always providing access to the latest discord features

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

Simple, modular, and observable Go framework for backend applications.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Rich-text editor with AI and shadcn/ui

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

A Python framework for modular, self-contained skill management for machines.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Feedback widget with screenshots, annotations, and AI triage

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

AgentStack is a production-grade multi-agent framework built on Mastra, delivering 50+ enterprise tools, 25+ specialized agents, and A2A/MCP orchestration for scalable AI systems. Focuses on financial intelligence, RAG pipelines, observability, and secure governance. ACP Openclaw, Gemini CLI, Opencode

AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion

Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.

Qt C++ library for working with AI/LLM Providers and MCP

Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco, Nuxeo DBs. 14 data sources (10 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex

Build autonomous AI agents in Python.

deep, reliable and confidential coding-context

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.