Cogni vs digithings
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cogni compared with digithings
| Detail | C
Cogni |
digithings |
| What it does | Memory that reasons
| Open-source AI infrastructure you self-host on your own hardware with your own keys
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
| Open source
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| Pricing | Free plan at $0 USD; Pro plan at $5 USD per month.
| Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
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| Key features | - Entity-graph spreading activation for cross-vocabulary retrieval
- Works with any LLM model
- No LLM or GPU in retrieval path
- Point-in-time and windowed recall
- Timestamped memories
- Fixed recall cost as memory grows
| - Provider routing with LiteLLM
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| What makes it different | - Reaches answers across unrelated documents that share no keywords, where vector search scores zero
- Deterministic retrieval with no model in the path, so results never vary between queries
- Constant per-query cost regardless of memory size, even at 32,000 words
- No infrastructure to run—no vector database, cluster, or GPU needed
- Works with any model, so small local models gain the most from better retrieval
| - Complete ownership: your keys, hardware, data and audit logs stay under your control
- No vendor lock-in: compose individual modules with your existing stack rather than replacing it
- Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history
- Every request traceable: one ID threads through all services with full audit logging
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | 5 ▼ −4 (down) since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 21 | 13 |
| Referring domains (Majestic) | 34 | 1 |
5 details filled in for both companies.
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