camelAI 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.

camelAI compared with iLang Inc.
Detail	camelAI	iLang Inc.
What it does	Open-source home for AI agents	The native language of AI; in human terms, a protocol.
Stage	Startup	Startup
Founded	2022	2026
Based in	Not given	CA
Pricing model	Freemium	Open source
Pricing	camelBot: free to start, no credit card required, credit packs from $4.99. camelRun: $0.01 per agent-hour of active run time, $0.10 per GB-month for storage, tokens free on your own provider keys or at provider's price on camelAI's keys with no markup. camelCode: free plan with your own model API ke	Not given
Key features	Define agent model, instructions, tools and channels Open-source AI agent runtime with Docker and Postgres self-hosting AI agent history and file storage Connect tools with OpenAPI, MCP, or custom code Deploy to Slack, Discord, Telegram, GitHub, or custom apps Sandboxed code execution for agents Support for multiple AI models from Anthropic, OpenAI, OpenRouter, Amazon Bedrock Custom Discord bot building with testing before publishing	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	Thousands of agents at once without talking to sales Open source agent runtime available for self-hosting Agents survive crashes and deploys without losing history or pending work	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	58 +1 (up) since last check	38 +1 (up) since last check
Trust Flow (Majestic)	9	7
Citation Flow (Majestic)	36	27
Referring domains (Majestic)	343	66

6 details filled in for both companies.

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