Tools
AnythingLLM vs Dify
AnythingLLM or Dify? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, Self-hosted, API, Builds agents and workflows, Search over your data
- Only Dify states: Traces and evaluates
AnythingLLM
AnythingLLM is a local-first AI assistant for chatting with documents, running agents, and automating tasks on your devices.
Plans
Basic
- $50 /monthly
- Private instance
- Custom subdomain
- RAG, agents, and work right out of the box
- Just bring an LLM API Key
Pro
- $99 /monthly
- Private instance
- RAG, agents, work right out of the box
- 72-hour support SLA
Enterprise
Price on request
- On-premise deployment
- Custom SLA
- Custom integrations
- SSO, RBAC, and more
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “Select your preferred model or let AnythingLLM auto-recommend the best one for your hardware specs and our experience.” source
- Self-hosted — “Give your whole team a private, multi-user AI workspace — hosted by us or self-hosted on your infrastructure.” source
- API — “The custom tool builder and developer API make it easy to fit AnythingLLM to your exact needs - no extra bloat.” source
- Builds agents and workflows — “Swap models, configure permissions, set up custom agent workflows, and white-label the interface to match your brand.” source
- Search over your data — “Every document becomes part of your agent's knowledge base with no data leaving your device.” source
Latest updates
- AnythingLLM v1.16.0 (v1.16.0)
Added image generation via /img and file picker support for dragging folders and files into existing folders.
- AnythingLLM v1.15.0 (v1.15.0)
Launched desktop Magic Features: dictation, text actions, and autocomplete; Pro removes their daily limits.
- AnythingLLM v1.14.0 (v1.14.0)
Added STT support for Deepgram, GenericOAI, Lemonade, and OpenAI, plus KokoroTTS support and Markdown conversion for web scraping.
Dify
Dify lets teams build, test, deploy, and monitor AI apps, agents, workflows, and RAG pipelines in the cloud or on private infrastructure.
Plans
Sandbox
Free
- 200 message credits
- 1 Team Workspace
- 1 Team Member
- 5 Apps
- 50 Knowledge Documents
- 50MB Knowledge Data Storage
Professional
- $590 per workspace / year
- 5,000 message credits / month
- 1 Team Workspace
- 3 Team Members
- 50 Apps
- 500 Knowledge Documents
- 5GB Knowledge Data Storage
Enterprise
Price on request
- Enterprise-grade Scalable Deployment Solutions
- Commercial License Authorization
- Multiple Workspaces & Enterprise Management
- SSO
- Advanced Security & Controls
- Professional Technical Support
Prices checked 2026-09-25 by web search.
Capabilities
- Choice of models — “Credits are provided to help you easily try out different models from OpenAI, Anthropic, Gemini, xAI, Tongyi in Dify.” source
- Self-hosted — “Self-host or run in your VPC.” source
- API — “Publish Dify apps as hosted experiences, API endpoints, embeds, or MCP-compatible tools.” source
- Builds agents and workflows — “Build an agent by chatting or configuring it manually.” source
- Search over your data — “Prepare searchable knowledge bases” source
- Traces and evaluates — “Use logs, feedback, annotations, latency, and usage data to understand what happened and improve the app over time.” source
Latest updates
- v1.17.0 (v1.17.0)
Adds an E2B sandbox backend, build-time home snapshots, and skill management.
- v1.16.0 (v1.16.0)
Launches Dify Agent (Beta), with a UI builder for agents that run in a Linux sandbox.