memsprout 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.
memsprout compared with iLang Inc.
| Detail | 
memsprout | 
iLang Inc. |
|---|
| What it does | Shared AI-context layer for teams
| The native language of AI; in human terms, a protocol.
|
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| Stage | Startup
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| CA
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| Pricing model | Freemium
| Open source
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| Pricing | Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
| Not given
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| Key features | - Connect any MCP client
- Space-based access control with owner, editor, and viewer roles
- Version history on every memory
- Per-memory attribution and provenance tracking
- Row-level security in Postgres
- Topic-based organization within Spaces
- Works with Cursor, Claude Code, Copilot, ChatGPT
- Priority support on Team and Enterprise plans
- Personal and Shared Spaces
| - 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
|
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| What makes it different | - Tool-agnostic across mixed AI stacks instead of locked to one vendor
- Works across teams without copy-paste or re-explaining context
- Person-first design where everyone maintains their own knowledge slice
- Single-team pricing with no enterprise minimum
- Shared control through role-based permissions and governance
| - 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
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 7 |
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| Citation Flow (Majestic) | 27 | 27 |
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| Referring domains (Majestic) | 71 | 66 |
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5 details filled in for both companies.
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