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Dify vs iLang Inc.

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Dify compared with iLang Inc.
Detail DifyiLang Inc. logo iLang Inc.
What it doesThe Platform for Production-Ready Agentic Workflows The native language of AI; in human terms, a protocol.
StageEstablished Startup
FoundedNot given 2026
Based inUS CA
Pricing modelFreemium Open source
PricingSandbox (free), Professional ($590/year per workspace), Team ($1,590/year per workspace), and custom Enterprise pricing. Message credits included monthly. Not given
Key features
  • Workflow Studio - Visual builder for agentic workflows
  • Agent builder - Create agents with skills, tools, and knowledge
  • Knowledge Pipeline - Prepare searchable knowledge bases
  • Marketplace - Explore tools, models, and integrations
  • Multi-deployment options - Cloud, VPC, or self-hosted
  • Publish and monitor - Ship as app, API, or tool
  • Visual execution path - Turn prompt logic into visible workflows
  • Unified workspace - Bring AI stack into one platform
  • Enterprise features - SSO, SAML, RBAC, audit logs
  • AI-native communication protocol with 88 verbs and two syntaxes
  • AI See: give any AI model vision by pasting i.ilang.ai URLs
  • Zero installation required, pure text format
  • Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
  • Loader available via pip and npm for automatic protocol injection
  • Prompt compression: 67% reduction in tokens for typical instructions
What makes it different
  • No-code platform that democratizes AI agent development for beginners
  • Deploy from prototype to production without rebuilding the stack
  • Unified workspace for agents, workflows, and knowledge pipelines
  • Enterprise-ready with SSO, RBAC, audit logs, and compliance certifications
  • First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
  • Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
  • Open source and MIT licensed with no royalties or approval required
  • Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
  • Tested and benchmarked with public conformance results and DOI-registered research
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)79 +1 (up) since last check38 +1 (up) since last check
Trust Flow (Majestic)337
Citation Flow (Majestic)5227
Referring domains (Majestic)633866

6 details filled in for both companies.

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