# dify
> Production-ready platform for agentic workflow development.
- **URL**: https://www.freshcrate.ai/projects/dify
- **Author**: langgenius
- **Category**: MCP Servers
- **Latest version**: `1.14.2` (2026-05-19)
- **License**: NOASSERTION
- **Source**: https://github.com/langgenius/dify
- **Homepage**: https://dify.ai
- **Language**: TypeScript
- **GitHub**: 138,659 stars, 21,737 forks
- **Registry**: github
- **Tags**: `agent`, `agentic-ai`, `agentic-framework`, `agentic-workflow`, `ai`, `automation`, `gemini`, `genai`, `mcp`, `typescript`
## Description
Production-ready platform for agentic workflow development.
## Recent releases
| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `1.14.2` | 2026-05-19 | High | ## 🚀 What's New in v1.14.2? v1.14.2 is a patch release focused on security hardening, workflow and knowledge reliability, observability fixes, agent groundwork, and deployment/runtime tuning after v1.14.1. ### 🔐 Security and administration - **Tenant-scoped sensitive endpoints** — strengthened tenant isolation for app trace-config endpoints and FilePreview text extraction. Thanks @xr843 in [#35793](https://github.com/langgenius/dify/pull/35793) and [#35797](https://github.com/langgeni |
| `1.14.1` | 2026-05-12 | High | ## 🚀 What's New in v1.14.1? v1.14.1 is a patch release focused on security hardening, workflow and knowledge-base stability, deployment cleanup, and continued UI platform migration after v1.14.0. ### 🔐 Security - **Self-hosted `SECRET_KEY` hardening** — Docker deployments no longer rely on a public default key. When `SECRET_KEY` is left empty, the API generates and persists a runtime key through the configured storage backend, while explicitly configured keys continue to work as befor |
| `1.14.0` | 2026-04-29 | High | ## 🚀 What's New in v1.14.0? ### Collaboration 
Collaboration allows workspace members to edit the same workflow together, with synced graph updates, online presence, and shared visibility into who is working where. On self-hosted deployments, collaboration is turned off by default. Enable it by setting: ``` |
| `1.13.3` | 2026-03-27 | Medium | ## 🚀 What's New in v1.13.3? Our latest patch release, v1.13.3, focuses on stability and correctness across workflow execution, streaming, and knowledge retrieval. Here's a quick look at the most important updates: ### 🎬 New Features - **Workflow Configuration**: Added variable-reference support for model parameters in LLM, Question Classifier, and Variable Extractor nodes by @scdeng in #33082. ### 🛠️ Bug Fixes - **Streaming Reliability**: Fixed `StreamsBroadcastChannel` replay and co |
| `1.13.2` | 2026-03-18 | Low | This patch release fixes several critical regressions and stability issues introduced in v1.13.1, including: - a severe regression in prompt message transformation that caused multiple LLM-plugin invocation failures across LLM-related nodes, including LLM and Question Classifier. - Knowledge Retrieval node execution failures caused by incompatible enum values - improper Weaviate client cleanup --- ## Upgrade Guide > [!IMPORTANT] > If you use custom `CELERY_QUEUES`, make sure ` |
| `1.13.1` | 2026-03-17 | Low | ## 🚀 Major Functional Changes ### Data platform and dataset operations - Added **Hologres** as a supported backend option for both vector retrieval and full-text search. - Added Service API endpoints for dataset document downloads: - Batch ZIP download for selected documents. - Signed URL download for single-document original files. ### Workflow and chat experience improvements - **Breaking change:** HITL email content now uses markdown rendering before delivery. Existing |
| `1.14.0-rc1` | 2026-02-14 | Low | ## 💥 New Agent x Skills 🥳 `1.14.0-rc1` brings a new agent-building experience: sandboxed runtime, Skill Editor, collaboration, and dynamic variable assembly. preview docs: ## 🌟 Try the Experience Now Build with the new Agent + Skill workflow in minutes. ### 👉 **Experience Now: [Live Demo](https://skills.bash-is-all-you-need.dify.dev/)** Not sure where to begin? Use our ready-made operational templates! ### 🧩 Start from Templat |
| `1.13.0` | 2026-02-11 | Low | ## 🚀 New Features ### Human-in-the-Loop (HITL) We are introducing the **Human Input** node, a major update that transforms how AI and humans collaborate within Dify workflows. **Background** Previously, workflows were binary: either fully automated or fully manual. This created a "trust gap" in high-stakes scenarios where AI speed is needed but human judgment is essential. With HITL, we are making h uman oversight a native part of the workflow architecture, allowing you to embe |
| `1.12.1` | 2026-02-04 | Low | ## What's Changed * fix(docker): persist IRIS data across container recreation using Durable %SYS by @TomoOkuyama in https://github.com/langgenius/dify/pull/31899 * fix(docker): improve IRIS data persistence with proper Durable %SYS by @TomoOkuyama in https://github.com/langgenius/dify/pull/31901 * fix: base url in client by @hyoban in https://github.com/langgenius/dify/pull/31902 * fix: auto summary env by @zxhlyh in https://github.com/langgenius/dify/pull/31930 * fix: fix delete_draft_v |
| `1.12.0` | 2026-02-03 | Low | ## 🚀 New Features: Summary Index We are introducing **Summary Index**, a powerful enhancement to our knowledge base retrieval system that significantly improves search accuracy by generating AI-powered summaries for document chunks. **Background** Traditional vector search relies on raw chunk embeddings, which can miss semantic nuances and context when matching user queries. This is especially challenging for long documents or complex content where key information might be scattered ac |
## Citation
- HTML: https://www.freshcrate.ai/projects/dify
- Markdown: https://www.freshcrate.ai/projects/dify.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/dify/deps
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