Psst... ask me: 'Postgres MCP for Claude Code' 🚀
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Local coding agent with neat UI
Frappe Flow — native AI agents, tools, and triggers for Frappe
##Note: this is really old now, and the janky pseudo methods are probably only working out of sheer coincidence. This was an early experiment in how jargon & combinations of artificial weights in pseudocode can influence LLM behaviour without retraining. This was probably ahead of its time
Supercharge Claude Code with 11 AI agents, 36 commands & 15 skills — the claude-code plugin framework inspired by oh-my-zsh. 6-layer security hooks included. 5-min install.
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and other models, one-click batch intelligent processing of pictures, videos, audio, etc.
Agent framework benefits: All agentic systems, whether simple workflows or complex autonomous agents, can benefit from core features provided by agentic frameworks. These features can be built from scratch or leveraged from an existing open-source platform, depending on your needs.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
A Python-based framework for building multi-agent systems with LLMs. Currently in pre-launch alpha.
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code · Codex · Copilot · Cursor · Factory · Warp · Windsurf.
Implement a Pytorch-like DL library in C++ from scratch, step by step
In 2024, the global market for AI agents reached about $5.4 billion, and it's expected to grow to nearly $47 billion by 2030. To support this shift, many open-source frameworks have emerged to help developers build, manage, and deploy AI agents faster. These frameworks provide key building blocks like memory handling, tool orchestration, task planning, and multi-agent coordination. If you're ...
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
AI-native SaaS framework that builds full-stack apps using autonomous AI agents
David AI is a free and open-source collection of customizable, production-ready UI components built with Tailwind CSS.
A curated list of awesome LLM agents frameworks. Contribute to kaushikb11/awesome-llm-agents development by creating an account on GitHub.
Master Codex with this Framework file system + Prompt Generator consisting of 32 markdown files that will set such strict constraints and rules for Codex that its output is nearly flawless. Files for: Governance, Execution, Workflow, Standards, Recovery, Design, Validation, Config plus Master Prompt Generator for App and Website Builds!
Introducing Microsoft Agent Framework Microsoft Agent Framework is an open-source SDK and runtime designed to let developers build, deploy, and manage sophisticated multi-agent systems with ease. It unifies the enterprise-ready foundations of Semantic Kernel with the innovative orchestration of AutoGen, so teams no longer have to choose between experimentation and production.
The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.
CubeLoop — a Pythonic, async-native agent harness core designed for high performance, readability, and production-grade persistence.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.
The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards
Discover the top LLM agent frameworks of 2025, including LangChain, AutoGen, and LiveChatAI. Learn how to build AI agents with tools, memory, and planning.
🤖🌊 aiFlows: The building blocks of your collaborative AI
Get an overview of the leading open-source AI agent frameworks—LangGraph, OpenAI Agents SDK, Google ADK, Smolagents, CrewAI, AutoGen, Semantic Kernel, Strands Agents, Pydantic AI, Agno, Mastra, and Microsoft Agent Framework. Compare features, learn when to use each, and see how to track agent behavior with Langfuse
The ultimate LLM/AI application development framework in Go.
The foundation layer for agentic intelligence.
Multi-Agent workflow running into a Laravel application with Neuron PHP AI framework
Compare top open-source AI agent frameworks and learn how Adopt AI eliminates tooling bottlenecks with zero-shot agents and workflows.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator