LM Studio Bionic vs Recalld
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
LM Studio Bionic compared with Recalld
| Detail | LM Studio Bionic | Recalld |
| What it does | The agent for your computer
| The memory layer for AI Agents
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| Stage | Not given
| Growing
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| Founded | Not given
| Not given
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| Based in | US
| 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 | - Local LLM support with llama.cpp and MLX
- Real-time voice transcription
- Document creation and editing with auto-save
- Coding tasks and automations
- Cloud inference with frontier models
- Web search and page extraction
- Multi-language voice support
- LM Link for device sharing
| - 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
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| What makes it different | - Natively local processing with privacy guarantees
- Zero Data Retention across all cloud services
- Access to frontier open models
- Agentic capabilities for work and code
| - 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
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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 |
| DR (Domain Rating by Ahrefs) | 81 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 42 | 0 |
| Citation Flow (Majestic) | 54 | 15 |
| Referring domains (Majestic) | 11304 | 10 |
4 details filled in for both companies.
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