Cognitive AI Memory vs Basic Memory

A side-by-side look at the Cognitive AI Memory and Basic Memory MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Cognitive AI Memory logoCognitive AI MemoryKnowledge & Memory · Local subprocess (stdio)Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.44FairAuth: not declaredBasic Memory logoBasic MemoryKnowledge & Memory · Local subprocess (stdio)Persistent, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.64GoodAuth: no auth required

Verdict: choose Cognitive AI Memory for knowledge & memory work as a local process; choose Basic Memory for knowledge & memory as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Cognitive AI Memory logoChoose Cognitive AI Memory when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
Explore Cognitive AI Memory

Basic Memory logoChoose Basic Memory when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like write_note, read_note, edit_note.
Explore Basic Memory

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCognitive AI Memory logoCognitive AI MemoryBasic Memory logoBasic Memory
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal44/100 · Fair64/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredNo auth required
PricingNot declaredFreemium
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars2704,336
Directory activity 3 views 0 installs 0 upvotes 2 views 0 installs 0 upvotes
ToolsNot listed21

Tools & capabilities

Cognitive AI Memory tools

No tool names declared yet. Check the project README from the listing page.

Basic Memory tools 21

  • write_note
  • read_note
  • edit_note
  • move_note
  • delete_note
  • read_content
  • view_note
  • search_notes
  • recent_activity
  • list_directory
  • build_context
  • list_memory_projects
  • +9 more on the listing page

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Cognitive AI Memory

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "cognitive-ai-memory": {
      "command": "uvx",
      "args": [
        "yourmemory"
      ]
    }
  }
}

Basic Memory

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "basicmachines-co-basic-memory": {
      "command": "uvx",
      "args": [
        "--prerelease=allow",
        "basic-memory"
      ]
    }
  }
}

Frequently asked questions

Cognitive AI Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. Basic Memory belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Cognitive AI Memory for knowledge & memory work and Basic Memory for knowledge & memory.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Cognitive AI Memory has no declared pricing — check the project's own site. Basic Memory is listed as freemium — a free tier with paid plans. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add cognitive-ai-memory and basicmachines-co-basic-memory as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Cognitive AI Memory has a quality signal of 44/100 (Fair) with 3 views, 0 installs and 270 GitHub stars. Basic Memory has 64/100 (Good) with 2 views, 0 installs and 4,336 GitHub stars.