Recalld vs Axonio
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Recalld compared with Axonio
| Detail | R
Recalld |
Axonio |
| What it does | The memory layer for AI Agents
| Persistent memory for AI agents and robots with Git-style versioning
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| Stage | Growing
| Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Not given
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| Key features | - Long-term memory for AI agents
- Automatic fact extraction and reconciliation
- Curated recall retrieval
- Raw vector search capability
- Model Context Protocol integration
- Regional data residency
- End-to-end encryption
- Right to erasure
- Bring-your-own-key model support
- Recalld Chat assistant
| - 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 | - Curated recall uses 6.7× fewer tokens than raw search while maintaining accuracy
- Automatic fact updating and reconciliation without manual deduplication pipelines
- Verified on open benchmark maintained by independent company
- Native MCP server requiring no SDK or glue code
- GDPR-compliant by design with transparent data handling
| - 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) | 7 ▼ −1 (down) since last check | 7 ▲ +4 (up) since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 15 | 25 |
| Referring domains (Majestic) | 10 | 5 |
4 details filled in for both companies.
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