| FMRS | 47 / 100 · D | 74 / 100 · B | 72 / 100 · B |
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| Reliability | 5 / 20 | 11 / 20 | 10 / 20 |
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| Security and permissions | 10 / 20 | 15 / 20 | 15 / 20 |
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| Maintenance | 10 / 20 | 17 / 20 | 16 / 20 |
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| Documentation | 14 / 20 | 17 / 20 | 17 / 20 |
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| Setup experience | 8 / 20 | 14 / 20 | 14 / 20 |
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| Best for | - Teams that need to distill large volumes of chat into searchable, citable knowledge.
- RAG applications that want to improve answer consistency and reduce hallucinations.
- Developers who want MCP integration to let AI coding assistants access team knowledge.
| - Developers needing quick, API-key-free web search capabilities
- Privacy-conscious users who prefer local search execution
- AI application development with Claude Desktop or Claude Code
| - Privacy-conscious developers who want local data storage.
- Researchers who need AI-assisted management of large note collections.
- Users of Markdown editors like Obsidian.
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| Not for | - Lightweight use cases that just need a simple chat log search.
- Users who cannot self-host Docker-based infrastructure or prefer serverless options.
- Those needing deep integration with proprietary knowledge management products without self-hosting.
| - Enterprise applications requiring high-scale, reliable search APIs
- Users needing advanced search features like custom ranking or filters
- Accessing sites blocked by TLS fingerprinting without installing the optional browser backend
| - Users needing cloud sync and mobile access (unless using the paid cloud service).
- Minimalists who want zero configuration.
- Scenarios requiring large-scale vector databases and complex retrieval (local SQLite may be insufficient).
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| Required permissions | - Requires read access to Slack, Discord, Teams, or Mattermost channels (bot tokens configured via UI).
- Access to external APIs: Gemini, Jina Embeddings (required); optional Tavily/Olostep web search.
- Runtime requires Docker, network ports (3000, 8000, 3001, 8080, 7474, 7687, 27017, 6380).
- For MCP clients, requires BEEVER_MCP_API_KEYS authentication.
| - Outbound network access to DuckDuckGo and other websites
- Reads environment variables for SafeSearch, region, and CA certificates
- Optionally reads a CA certificate file (for TLS-intercepting proxies)
| - Read and write to the local filesystem (default: ~/basic-memory).
- Perform file and directory operations (create, edit, delete).
- Access local SQLite database (or Postgres/Milvus if configured).
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| Risks and side effects | - Indexed chat data may contain sensitive information; ensure data security in deployment.
- API keys (e.g., Gemini, Jina) if exposed can lead to misuse or data breaches.
- Auto-generated wiki may contain errors or inaccurate info; human review may be needed.
- Early-stage version (0.3.0) with unstable API; may break on updates.
| - Search endpoints may occasionally return empty results or errors, especially when blocked
- Content fetching may be subject to SSRF protection, blocking private or loopback addresses by default
- Misuse could lead to rate limiting or IP blocking
| - Tools have write operations that may unintentionally modify or delete notes.
- Edit operations may overwrite existing content, though there are protections.
- Semantic search and reranking features may require model downloads, adding latency.
- Local data backups are the user's responsibility.
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| Supported clients | Claude, Cursor | Claude Desktop, Claude Code | Claude Desktop, Claude Code, Codex CLI, Cursor, VS Code, ChatGPT, Obsidian |
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| Tools | 15 | 2 | 21 |
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