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LangChain 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.

LangChain compared with iLang Inc.
Detail LangChainiLang Inc. logo iLang Inc.
What it doesThe open agent platform to own your intelligence The native language of AI; in human terms, a protocol.
StageEstablished Startup
Founded2023 2026
Based inUS CA
Pricing modelNot given Open source
PricingDeveloper plan is free for solo users with up to 5k base traces per month, then pay-as-you-go. Plus plan costs $39/seat/month with 10k base traces included. Enterprise plan offers custom pricing with advanced options. Not given
Key features
  • Agent observability with step-by-step tracing
  • Agent evaluation and scoring
  • Agent deployment infrastructure
  • Production monitoring with online evaluations
  • Autonomous agent improvement with Engine
  • Secure sandbox execution for agent-generated code
  • LLM Gateway for model call control
  • No-code agent builder Fleet
  • Open source frameworks for agent development
  • 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
  • Comprehensive platform covering the entire agent development lifecycle from building to monitoring
  • Open source frameworks with options from quick-start to low-level control
  • Built-in observability and evaluation capabilities integrated into the platform
  • Support for long-running autonomous agents with Deep Agents framework
  • 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)88 +1 (up) since last check38 +1 (up) since last check
Trust Flow (Majestic)567
Citation Flow (Majestic)6427
Referring domains (Majestic)2858666

6 details filled in for both companies.

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