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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionBeever AtlasOpen-source LLM knowledge base that turns team chats into a typed knowledge graph and auto-generated wiki.Basic MemoryYour AI never forgets again.
FMRS47 / 100 · D72 / 100 · B
Reliability5 / 2010 / 20
Security and permissions10 / 2015 / 20
Maintenance10 / 2016 / 20
Documentation14 / 2017 / 20
Setup experience8 / 2014 / 20
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.
  • Privacy-conscious developers who want local data storage.
  • Researchers who need AI-assisted management of large note collections.
  • Users of Markdown editors like Obsidian.
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.
  • 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).
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.
  • 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).
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.
  • 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.
Supported clientsClaude, CursorClaude Desktop, Claude Code, Codex, Cursor, VS Code, ChatGPT, Obsidian
Tools1521