Dify
Open-source platform for building, deploying, and operating LLM applications and agents.
Dify pivots from workflow builder to shell-executing agents in a sandbox.
◆Recent moves
- 4h ago
Dify Agent: experimental sandboxed shell agent with Skills
⚡ SPARKThe clearest step yet in Dify's agent pivot: an experimental Dify Agent that runs in a Linux sandbox and executes shell commands, built around Skills. It extends the Agent+Skills runtime introduced in 1.14 into a full agent experience.
View source ↗ - 1mo ago
v1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
A patch release consolidating the agent groundwork: tenant-scoped security fixes, workflow and knowledge reliability, and deployment tuning after 1.14.1. Incremental hardening rather than new capability, but the kind of work that precedes a production agent push.
View source ↗ - 1mo ago
v1.14.1 - Security hardening, workflow stability, and cleaner self-hosted deployments
Security hardening for self-hosted deployments, notably dropping the public default SECRET_KEY and protecting internal metrics endpoints, alongside workflow stability. Housekeeping that matters most to teams running Dify themselves.
View source ↗ - 4mo ago
1.14.0-rc1: New Agent x Skills for Production Workflows
⚡ SPARKThe pivot point: Dify's first agent-building runtime, with sandboxed execution, a Skill Editor, and dynamic variable assembly. Everything since, the security patches and the 1.16 Dify Agent, builds on this foundation.
View source ↗ - 4mo ago
1.13.0 - Human-in-the-Loop and Workflow Execution Upgrades
⚡ SPARKHuman-in-the-Loop added a native Human Input node that pauses a running workflow for review. It closed the gap between fully automated and fully manual flows and set up the collaboration patterns the later agent runtime would need.
View source ↗ - 5mo ago
v1.12.0 - Introducing Summary Index: Smarter Retrieval with AI Summarization
Summary Index generates AI summaries for document chunks to improve retrieval accuracy on long or scattered content. A real upgrade to the knowledge base, and a reminder that RAG stays part of the platform even as agents take the spotlight.
View source ↗