Tags: #ai-agents

An open-source MCP server connecting AI agents, IDEs, and applications to enterprise databases for data interaction, schema exploration, and code generation.

OpenViking is an open-source context database for AI Agents, unifying memory, resources, and skills through a file system paradigm to enable hierarchical context delivery and self-evolving capabilities.

Hive is a production-grade runtime harness for multi-AI agents, providing state management, fault recovery, observability, and human oversight for reliable business process automation.

Agno is a comprehensive platform for building, running, and managing scalable agentic software, addressing the unique challenges of AI agent interaction, governance, and trust in production environments.

An open-source AI platform offering an advanced, feature-rich chat interface compatible with all major LLMs, enabling RAG, web search, and custom agents.

An API for AI agents to reliably search, scrape, and interact with the web, providing clean, LLM-ready data at scale.

A free, local, open-source Cowork app that enables AI agents to work alongside you, automating tasks, interacting with files, and browsing the web 24/7.

MindsDB is an AI-powered query engine that enables AI agents to securely access, unify, and analyze data from diverse sources using natural language and SQL.

An open-source Python framework for building real-time, voice-first, and multimodal conversational AI agents with composable pipelines.

Deep Agents is a batteries-included AI agent harness built with LangChain and LangGraph, offering out-of-the-box capabilities for planning, file system interaction, sub-agent delegation, and intelligent context management to tackle complex agentic tasks efficiently.

A lean, lightning-fast Python framework for orchestrating autonomous, collaborative AI agents to tackle complex tasks efficiently.

An all-in-one, privacy-first AI application for chatting with documents and automating workflows using AI agents, designed for easy local deployment.

A frontend SDK for building AI agent-native applications with dynamic generative UIs and collaborative human-in-the-loop workflows.

ReMe is a memory management framework for AI agents, addressing limited context windows and stateless sessions by providing persistent, automatically refined memory.

Amazon Bedrock AgentCore provides a framework-agnostic and model-agnostic infrastructure for securely deploying and operating advanced AI agents at scale, with this repository offering practical samples and tutorials.

An extensible AI agent framework providing a full Linux system, enabling agents to create tools, write code, browse the web, and collaborate on projects.

MemOS is an AI memory operating system designed for LLMs and AI agents, providing persistent, context-aware, and multi-modal memory for enhanced skill reuse and evolution across tasks.

An open-source Chromium-based browser that natively runs AI agents for privacy-first web automation and enhanced productivity.

An open-source platform for building, deploying, and orchestrating AI agents and agentic workflows with 1,000+ integrations.

An open-source, full-featured framework for building, deploying, and managing autonomous multi-agent AI applications with ease.

Composio provides SDKs and a robust platform to empower AI agents with over 1000 toolkits, enabling them to turn intent into action through seamless tool search, context management, and authentication.

Automates complex browser-based workflows using LLMs and computer vision, providing a resilient and adaptive solution for web interaction.

An open-source financial data platform that integrates diverse data sources and exposes them to analysts, quants, and AI agents.

An open-source knowledge engine designed to build personalized and dynamic memory for AI agents, enabling them to learn and provide relevant context.

A comprehensive system for optimizing the performance, security, and learning capabilities of AI agent harnesses like Claude Code, Codex, and Cursor.

Enables AI agents to interact with and automate tasks on websites, making web content accessible for large language models.

A curated list of awesome skills, agents, plugins, and tools to enhance Claude Code workflows by Anthropic.

An all-in-one Dockerized sandbox environment for AI agents, integrating browser, shell, file system, VSCode, and MCP for unified, secure, and zero-configuration development.

Cua provides open-source infrastructure, including sandboxes and SDKs, to build, train, and evaluate AI agents capable of controlling full desktop environments across macOS, Linux, and Windows.

An open-source, universal memory layer for AI agents, enabling persistent state management, learning, and recall across sessions for LLM-powered applications.

An open-source, code-first Python framework for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

An open-source infrastructure providing secure, isolated cloud sandboxes for executing AI-generated code with developer-friendly SDKs.

Mem0 provides a universal, intelligent memory layer for AI agents, enabling personalized and context-rich interactions across various applications.

An enterprise-ready, model-agnostic SDK for building and orchestrating intelligent AI agents and multi-agent systems with cutting-edge LLM technology.

An open-source agentic AI data assistant that connects to various data sources, autonomously generates SQL and code for analysis, and produces reports in sandboxed environments.

An AI multi-agent orchestration system inspired by ancient Chinese imperial governance, featuring institutional review, real-time dashboards, and full audit trails for reliable and observable AI collaboration.

X-CMD is a modern toolkit that empowers POSIX shells with a comprehensive standard library, on-demand package management for CLI tools, and AI agent capabilities, making shell scripting as powerful as Python.

Nexent is a zero-code platform for auto-generating production-grade AI agents, unifying tools, skills, memory, and orchestration with built-in controls.

A comprehensive tutorial guiding users from foundational theories to practical implementation of AI-native intelligent agent systems.

A specialized code editor designed to orchestrate and manage multiple AI coding agents simultaneously across isolated git worktrees, enhancing developer productivity.

A production-ready framework for building controlled, consistent, and predictable customer-facing AI agent interactions with LLMs, optimized for context engineering.

A low-level orchestration framework for building, managing, and deploying resilient, stateful AI agents using a graph-based approach.

A fullstack React SDK for building AI agents that dynamically render user interfaces based on natural language input.

A modular framework built with LangGraph for developing advanced Agentic RAG systems, offering both learning materials and an extensible architecture.

An open-source integration platform enabling AI models to connect with thousands of APIs, data sources, and tools via simple SDKs and the Model Context Protocol (MCP).

A curated list and search tool for open-source GitHub repositories related to ChatGPT, OpenAI API, and Codex.

A framework-agnostic, git-native standard for defining AI agents, enabling universal portability and version control.

Snyk Agent Scan is a security scanner designed to discover and analyze AI agent components for prompt injections, vulnerabilities, and sensitive data handling issues.

A Python framework for building autonomous and traditional AI agents, offering robust tools, prebuilt components, and integrated OCR capabilities.

OSWorld is a benchmark and environment for evaluating multimodal AI agents on open-ended tasks within real computer operating systems.

A low-code platform for visually building and deploying custom AI agents and LLM applications.

A comprehensive, free online course from Hugging Face designed to teach the fundamentals and advanced techniques of building AI agents.

A Python SDK and platform providing comprehensive observability, monitoring, and evaluation tools for AI agents, from prototype to production.

A comprehensive repository offering over 50 tutorials and implementations for building Generative AI agents, from basic conversational bots to complex multi-agent systems.

A Kotlin-based multiplatform framework for building predictable, fault-tolerant, and enterprise-ready AI agents with idiomatic JVM/Kotlin APIs.

A unified Ruby API to interact with various Large Language Models (LLMs) from different providers, simplifying AI integration into Ruby and Rails applications.

A Python SDK that simplifies the creation and deployment of AI agents using a model-driven approach, supporting diverse LLMs and advanced features.

A self-hosted, local-first cognitive memory engine providing real long-term memory for LLM applications and AI agents, distinct from RAG or vector databases.

A comprehensive open-source library providing AI agents with the skills to autonomously conduct the entire AI research lifecycle, from ideation to paper writing.

A Python package offering production-ready templates and infrastructure for deploying GenAI agents on Google Cloud, now superseded by `agents-cli` for ongoing development.

Assemble, configure, and deploy autonomous AI Agents directly in your browser.

Neurite is an open-source fractal graph-of-thought platform for rhizomatic mind-mapping, integrating AI agents, web links, notes, and code in a dynamic, visually complex workspace.

An open-source playbook providing end-to-end, code-first tutorials for building production-grade GenAI agents, from prototype to enterprise deployment.

Build machine learning models from natural language prompts using an AI-powered multi-agent system.

A versatile framework designed to train and optimize AI agents from any framework with minimal code changes, leveraging advanced algorithms like Reinforcement Learning.

A platform for building stateful AI agents equipped with advanced memory, enabling them to learn and self-improve over time.

An open-source operating system that empowers AI agents to autonomously run company operations by providing a shared Linux environment with full context and persistent memory.

A comprehensive repository offering practical implementations of 17+ state-of-the-art AI agent architectures using LangChain and LangGraph for hands-on learning and development.

Learn to build a personalized AI assistant leveraging your 'Second Brain' knowledge base using advanced LLM, RAG, and agentic techniques with MLOps best practices.

EvoAgentX is an open-source framework for building, evaluating, and self-evolving LLM-based AI agents and agentic workflows in an automated and goal-driven manner.

A secure, fast, and extensible sandbox runtime for AI agents, offering multi-language SDKs and robust container orchestration.

A portable, open-source operating system for AI agents, offering near-zero cold starts and significantly lower costs compared to traditional sandboxes, powered by WebAssembly and V8 isolates.

An open-source, agentic AI system that transforms plain language descriptions into complete video productions, handling research, scripting, asset generation, editing, and final composition.

A secure, validated, and hardened registry of skills (plugins) for professional AI coding agents, ensuring safety and reliability in an ecosystem prone to vulnerabilities.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, with agent-ready capabilities for AI workloads.

An asynchronous reinforcement learning framework enabling personalized AI agent training through natural language conversations and scalable real-world deployments.

A comprehensive, categorized list of open-source and closed-source AI autonomous agents.

A plug-and-play library of 211 specialized AI expert roles designed to enhance various AI programming tools and cover diverse professional domains.

An AI agent framework that generates production-ready, pattern-compliant code through approval-based workflows, ensuring consistency and reducing rework.

A comprehensive, open-source guide and resource hub for prompt engineering, context engineering, RAG, and AI Agents, designed to help developers and researchers master LLM interactions.

Provides a multimodal toolset for AI agents to generate, edit, and display professional-grade images, videos, and audio using a CLI-powered architecture.

Build low-latency, multi-modal AI agents that process real-time video and audio using various LLMs and vision models.

A comprehensive Python library for multi-modal anomaly detection, featuring 60+ algorithms and agentic AI capabilities for scalable, expert-level investigations.

An open-source, serverless platform for building and deploying complex, agent-based AI workflows with persistent memory and tool orchestration.

A versatile platform for building and deploying AI agents and multi-agent workflows using a no-code visual builder or a TypeScript SDK, featuring full 2-way synchronization.

PySpur is a visual playground designed to accelerate the iteration, debugging, and deployment of AI agents, helping engineers overcome common challenges like prompt hell and workflow blindspots.

GoClaw is a secure, multi-tenant AI agent platform built in Go, designed for deploying and orchestrating AI agent teams at scale with robust security and native concurrency.

A flexible, open-source framework for orchestrating multiple AI agents to manage complex conversations and tasks efficiently.

A production-ready Java framework for building agentic, workflow, and multi-agent AI applications with comprehensive development and management tools.

A collection of n8n templates for building various AI agents and automating content creation, research, and social media tasks.

OpenWork is an open-source, local-first platform designed for teams to easily deploy, manage, and share AI agentic workflows, serving as an alternative to commercial tools like Claude Cowork.

A minimal, secure Python interpreter written in Rust, designed for fast and safe execution of LLM-generated code within AI agents, bypassing traditional container overhead.

An open-source library of enterprise-grade AI agents designed to democratize advanced AI access and provide free alternatives to commercial AI solutions.

An open-source video rendering framework that enables creating, previewing, and rendering HTML-based video compositions, with first-class support for AI agents.

Enables AI agents to programmatically create, read, edit, and automate Word, Excel, and PowerPoint documents without requiring Microsoft Office installation.

Amazon Bedrock AgentCore provides a framework-agnostic and model-agnostic infrastructure for securely deploying and operating advanced AI agents at scale, with this repository offering practical samples and tutorials.

A comprehensive, multi-language framework for building, orchestrating, and deploying AI agents and complex multi-agent workflows.

A TypeScript library designed to orchestrate AI coding agents within isolated sandboxes, streamlining their execution and managing code changes.

A fast native Rust CLI for browser automation, specifically designed for AI agents.

A curated collection of production-ready skills designed to extend the capabilities of AI coding agents like Claude Code, Cursor, and Codex.

CocoIndex is an incremental data indexing framework that provides continuously fresh context from diverse enterprise data sources for AI agents and LLM applications.

Provides persistent memory for AI coding agents, eliminating the need for repeated explanations and improving efficiency.