Cogni vs Axonio
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 Axonio
| Detail | C
Cogni |
Axonio |
| What it does | Memory that reasons
| Persistent memory for AI agents and robots with Git-style versioning
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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
| Freemium
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| Pricing | Free plan at $0 USD; Pro plan at $5 USD per month.
| Not given
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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
| - Hybrid vector and knowledge-graph retrieval
- Zero-copy state branching and merging
- 44 memory tools over MCP protocol
- Sub-0.4ms P99 retrieval latency
- Built-in importers from Mem0, Zep, Pinecone and others
- Entity deduplication and linking
- Offline operation with fleet synchronization
- Memory Copilot for schema generation
- Object storage for multimodal state
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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
| - Memory versioning with Git-style fork, diff and merge—test changes safely and undo mistakes
- Native MCP integration: one URL works with Claude, Cursor, Windsurf and any MCP client
- Seamless migration from Mem0, Zep, Pinecone and other systems without data loss
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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
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | 7 ▲ +4 (up) since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 21 | 25 |
| Referring domains (Majestic) | 34 | 5 |
4 details filled in for both companies.
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