Langflow: Visual AI Agent and Workflow Builder Trending on GitHub
Langflow is an open-source Python framework for building and deploying AI-powered agents and workflows, currently accumulating 148,425 total GitHub stars with 155 new stars today. It provides a visual interface for composing LLM-based pipelines and agent workflows. The continued traction signals ongoing community interest in low-code/visual tooling for AI agent construction.
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MLflow trending on GitHub as open-source AI engineering platform
MLflow, an open-source platform for managing AI/ML workflows, is trending on GitHub with 26,442 total stars and 22 new stars today. The project supports agents, LLMs, and traditional ML models, offering debugging, evaluation, monitoring, and optimization capabilities for production AI applications. It is a mature, widely-used tooling platform in the MLOps space.
Langfuse: Open Source LLM Engineering Platform Trending on GitHub
Langfuse is an open-source LLM engineering platform providing observability, metrics, evaluations, prompt management, and dataset tooling. It integrates with OpenTelemetry, LangChain, OpenAI SDK, and LiteLLM. The project has accumulated 28,075 GitHub stars with 89 new stars today, indicating sustained community traction. Backed by Y Combinator (W23), it represents a notable entry in the LLM ops/tooling ecosystem.
Dify agentic workflow platform trending on GitHub with 143K stars
Dify, an open-source production-ready platform for agentic workflow development by LangGenius, is trending on GitHub with over 143,000 total stars and 164 new stars today. The platform targets developers building LLM-powered applications and agent pipelines. Its sustained high star count signals broad adoption in the agent tooling ecosystem.
AWS Labs releases AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
AWS Labs has open-sourced aidlc-workflows, a Python repository providing adaptive workflow steering rules for AI coding agents under an AI-Driven Life Cycle (AI-DLC) framework. The project aims to guide AI agents through structured software development lifecycle phases. With 2,367 stars and modest daily growth (+31), it represents a community-level tooling contribution from AWS Labs in the agent orchestration space.
RAGFlow open-source RAG engine with agent capabilities trending on GitHub
RAGFlow is an open-source Retrieval-Augmented Generation engine that combines RAG with agent capabilities, positioned as a context layer for LLMs. The project has accumulated over 83,000 GitHub stars with 111 new stars today, indicating sustained community interest. It is maintained by Infiniflow and represents a notable open-source tooling option in the RAG/agent ecosystem.
LangChain releases DeepAgents: a batteries-included agent harness
LangChain has published DeepAgents, a Python agent harness described as 'batteries-included' for building AI agents. The repository has accumulated 24,206 GitHub stars with 105 added today, indicating significant community traction. The project extends LangChain's position in the agent tooling ecosystem.
OpenHands AI-driven development platform trending on GitHub
OpenHands, an open-source AI-driven software development platform implemented in Python, is trending on GitHub with 77,048 total stars and 258 new stars today. The project enables AI agents to perform software development tasks autonomously. Its continued traction signals sustained community interest in open-source coding agent frameworks.
Microsoft agent-framework: open-source library for building and orchestrating AI agents
Microsoft has published an open-source framework on GitHub for building, orchestrating, and deploying AI agents and multi-agent workflows, with support for both Python and .NET. The repository has accumulated 11,061 stars. It represents Microsoft's entry into the agent harness tooling space alongside existing frameworks like LangChain and AutoGen.