Dify - AI Agent Frameworks Tool

Overview

Dify is an open-source, production-ready platform for developing and deploying agent-driven workflows that enable collaboration between multiple AI agents. According to the project's GitHub repository, Dify focuses on composing, orchestrating, and running multi-agent pipelines that can be deployed on-premises or in cloud environments. The platform provides tooling to design workflows, connect agents to external data sources and model providers, and serve those workflows via APIs and a web interface. Dify aims to bridge experiment-stage agent ideas and hardened production deployments: teams can prototype multi-agent interactions, add connectors to model or vector-store providers, and run workflows with observability and role-based collaboration. The repository shows active development (last commit on 2026-01-09) and a sizeable community of contributors and users, indicating it’s intended for real-world use in enterprise and research settings.

GitHub Statistics

• Stars: 125,318
• Forks: 19,484
• Contributors: 466
• License: NOASSERTION
• Primary Language: Python
• Last Updated: 2026-01-09T08:13:17Z
• Latest Release: 1.11.2

The GitHub repository for Dify is highly active and widely adopted: according to the repository metadata there are 125,318 stars, 19,484 forks, and 466 contributors. The last recorded commit was on 2026-01-09, demonstrating recent activity. The project license is reported as NOASSERTION in the metadata. High star and contributor counts suggest strong community interest and a healthy contribution pipeline; frequent commits and many forks imply ongoing development, issue triage, and third-party integrations.

Installation

Install via docker:

git clone https://github.com/langgenius/dify.git

cd dify

docker compose up -d

Key Features

• Multi-agent workflows: build chained agent pipelines for QA, ticket triage, or document processing.
• Collaborative environment: share and iterate on workflows across teams with role-aware access.
• API-first serving: expose workflows via REST and WebSocket endpoints for programmatic integration.
• Self-hosted deployment: run the platform on-premises or in private cloud using containerized deployment.
• Extensible integrations: connect external model providers, data sources, and vector stores (connectors supported).

Community

Dify has a large and active community: 125k+ stars, ~19.5k forks, and 466 contributors indicate broad adoption and ongoing contributions. The project receives recent commits and community PRs, suggesting active maintenance and responsiveness to issues.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool