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 designed for AI Agents, unifying memory, resources, and skills management through a file system paradigm for hierarchical context delivery and self-evolving capabilities.

An ultimate workspace for building, collaborating with, and managing AI agent teammates that co-evolve with users.

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, production-ready agentic software, addressing the unique challenges of AI agent deployment.

Onyx is an open-source AI platform providing a feature-rich interface for Large Language Models, enabling advanced AI chat with RAG, web search, and agentic capabilities.

A robust Web Data API designed to provide clean, LLM-ready web data for AI agents, enabling scalable search, scraping, and interaction with the web.

MindsDB is an open-source AI analytics query engine that enables AI agents to directly query and analyze live data from various sources without ETL, facilitating natural language interaction and semantic search.

A batteries-included agent harness built with LangChain and LangGraph, designed to simplify the creation and deployment of complex, capable AI agents.

A framework for orchestrating role-playing, autonomous AI agents to collaboratively tackle complex tasks.

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

A collection of samples and tutorials for deploying and operating scalable, secure, and framework-agnostic AI agents using Amazon Bedrock AgentCore.

An open-source, privacy-first Chromium fork that natively runs AI agents for advanced browser automation and intelligent web interaction.

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

An open-source framework for building, deploying, and managing autonomous multi-agent AI applications with a modern, extensible platform.

Composio provides SDKs for Python and TypeScript to empower developers to build AI agents by offering access to 1000+ toolkits, 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 with minimal code.

An open-source platform for building enterprise-grade AI agents, integrating RAG, workflows, and tool-use for intelligent Q&A and complex business scenarios.

A Python framework and cloud service designed to empower AI agents to interact with and automate tasks on websites.

LlamaIndex is an open-source framework for building agentic applications, specializing in document processing, OCR, parsing, and indexing to empower LLMs.

A meticulously curated collection of skills, agents, plugins, and tools designed to significantly enhance development workflows with Anthropic's Claude Code.

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.

A Java-based agent-oriented programming framework for building production-ready LLM applications with intelligent agents, comprehensive control, and robust built-in tools.

Open-source infrastructure for building, training, and evaluating AI agents that can control full desktops across various operating systems.

An open-source, universal memory layer for AI agents, enabling persistent learning, storage, and recall of information across sessions to transform stateless agents into context-aware assistants.

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 is a universal memory layer that enhances AI agents with intelligent, personalized, and scalable long-term memory capabilities.

An enterprise-ready, model-agnostic SDK for building, orchestrating, and deploying intelligent AI agents and multi-agent systems.

An open-source platform for building, deploying, and managing next-generation AI chatbots and LLM-powered agents.

Edict is an AI multi-agent orchestration system inspired by ancient imperial governance, offering institutional review, real-time observability, and task intervention for reliable complex task execution.

X-CMD is a modern, lightweight toolkit that supercharges POSIX shells with a standard library, on-demand package management, and AI-native capabilities, empowering AI agents and developers alike.

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 principles to practical implementation of AI-native agent systems.

Orchestrates multiple CLI-based AI coding agents in parallel across isolated git worktrees to accelerate development.

Acontext is an open-source skill memory layer for AI agents, enabling them to learn from experiences and store knowledge as readable, shareable skill files.

Trigger.dev is an open-source platform for building and deploying durable, long-running AI agents and workflows in TypeScript, offering features like retries, queues, and elastic scaling without serverless timeouts.

A React toolkit for building AI agents that dynamically render user interfaces, handling streaming, state, and multi-component orchestration.

A modular framework for building advanced Agentic RAG systems using LangGraph, featuring intelligent query processing, conversation memory, and human-in-the-loop clarification.

A collection of samples and tutorials for deploying and operating scalable, secure, and framework-agnostic AI agents using Amazon Bedrock AgentCore.

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

A production-ready Python framework for building autonomous AI agents with integrated safety, memory, and multi-agent coordination.

A lightweight Python library that makes Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph.

A comprehensive online course from Hugging Face designed to teach the fundamentals and advanced concepts of building AI agents using LLMs and popular frameworks.

A Python SDK and platform for comprehensive observability, monitoring, and cost management of AI agents and LLM applications.

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

A unified Ruby API for integrating with diverse Large Language Models (LLMs) from multiple providers, streamlining AI application development.

A model-driven Python SDK for rapidly building and deploying AI agents, from simple assistants to complex autonomous workflows, with minimal code.

OpenMemory is 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.

Accelerates the development and deployment of production-ready AI agents on Google Cloud with pre-built templates, CI/CD, evaluation, and observability.

A browser-based platform enabling users to assemble, configure, and deploy autonomous AI agents to achieve custom goals.

Neurite is an open-source platform that leverages fractal and graph theory to create a virtually limitless, interactive workspace for mind-mapping, knowledge management, and AI agent collaboration.

Build machine learning models from natural language prompts using an AI-powered agentic approach.

A versatile framework designed to train and optimize AI agents from any existing 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 over 17 state-of-the-art AI agent architectures using LangChain and LangGraph.

An open-source course teaching how to build a production-ready Second Brain AI assistant leveraging LLMs, RAG, agents, and LLMOps for personal knowledge management.

A secure, fast, and extensible general-purpose sandbox runtime platform for AI agents, offering multi-language SDKs and flexible deployment.

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 videos, handling research, scripting, asset generation, editing, and 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, specifically designed for AI agents with secure Python UDF sandboxes.

A fully asynchronous reinforcement learning framework to train personalized AI agents from natural conversation feedback and enable scalable real-world agentic RL.

A curated list of open-source and closed-source AI autonomous agents.

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

A comprehensive open-source library offering 235+ production-ready skills and plugins to enhance various AI coding agents like Claude Code, OpenAI Codex, and Gemini CLI with domain-specific expertise.

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

A comprehensive guide and resource hub for prompt engineering, context engineering, RAG, and AI Agents, designed to empower developers and researchers in leveraging large language models.

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

A framework for building intelligent, low-latency multi-modal AI agents that can process real-time video and audio using various LLMs and vision models.

A comprehensive Python library offering 60+ anomaly detectors for multi-modal data, featuring an agentic workflow for AI agents and benchmark-backed orchestration.

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 for AI engineers to rapidly build, iterate, and debug agentic workflows, significantly accelerating the development of reliable AI agents.

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

A community node for n8n that enables seamless interaction with Model Context Protocol (MCP) servers, allowing AI models to access external tools and data sources within n8n workflows.

A collection of n8n templates for building diverse AI agents and automating content creation workflows.

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.

YC Killer is an open-source library of enterprise-grade AI agents designed to democratize advanced AI technology and provide free alternatives to commercial AI solutions and Y Combinator startups.

An open-source framework for creating and rendering HTML-based video compositions, optimized for AI agent-driven workflows.