Celiums Memory vs Memory Os Cli

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

Celiums Memory logoCeliums MemoryKnowledge & Memory · Local subprocess (stdio)Cognitive memory engine with 5,100+ knowledge modules, circadian rhythm awareness, and emotional state tracking (PAD model). Hybrid search (PostgreSQL + Qdrant vectors + Valkey cache), per-user memory isolation, and multi-protocol support (MCP, REST, OpenAI, LangChain, A2A). npx @celiums/memory Website56GoodAuth: api key requiredMemory Os Cli logoMemory Os CliKnowledge & Memory · Local subprocess (stdio)XMemo is user-owned memory for AI agents over a hosted Streamable HTTP MCP endpoint. Save, search, recall, and manage scoped memories across Copilot, Claude, ChatGPT, IDEs, and CLIs. https://xmemo.dev/mcp65GreatAuth: other

Verdict: choose Celiums Memory for knowledge & memory work as a local process; choose Memory Os Cli 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?

Celiums Memory logoChoose Celiums Memory when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: SQLITE_PATH, DATABASE_URL, QDRANT_URL, VALKEY_URL, CELIUMS_API_KEY, PORT, CELIUMS_LLM_API_KEY, CELIUMS_LLM_BASE_URL.
Explore Celiums Memory

Memory Os Cli logoChoose Memory Os Cli when

  • You need dedicated capabilities in the Knowledge & Memory domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: other.
  • You want tools like get_mcp_identity, remember, recall.
Explore Memory Os Cli

Feature & specification comparison

Rows where the two servers differ are marked.

SpecCeliums Memory logoCeliums MemoryMemory Os Cli logoMemory Os Cli
CategoryKnowledge & MemoryKnowledge & Memory
Quality signal56/100 · Good65/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredother
PricingFreeFree
Required env varsSQLITE_PATHDATABASE_URLQDRANT_URLVALKEY_URLCELIUMS_API_KEYPORTCELIUMS_LLM_API_KEYCELIUMS_LLM_BASE_URLNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars2312
Directory activity 3 views 0 installs 0 upvotes 3 views 0 installs 0 upvotes
ToolsNot listed20

Tools & capabilities

Celiums Memory tools

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

Memory Os Cli tools 20

  • get_mcp_identityCheck XMemo connection status and the connected account/agent.
  • rememberSave a memory so it can be recalled in future conversations.
  • recallRecall the most relevant saved memories before answering.
  • recall_contextRead a multi-memory context pack. Requires memory:read and does not change content. Use when many memories need explicit budgets; use recall for lightweight answer or get_project_context for project snapshot. max_items/max_tokens bound rendered output.
  • memory_statsShow aggregate statistics for XMemo memories.
  • update_memoryUpdate the content or metadata of an existing memory.
  • explain_memoryExplain why a memory exists or matched a query.
  • restore_memoryRestore a previously deleted memory.
  • add_expenseCreate one XMemo Ledger transaction and backing memory. Requires memory:write; it records a new transaction or reuses a semantic duplicate, and never deletes Ledger records. Use it for a purchase, income, refund, or transfer; use list_ledger_transactions or get_monthly_ledger_summary for reads. amount must be positive; transaction_type defaults to expense; blank transaction_date uses today's UTC date.
  • list_ledger_transactionsShow XMemo Ledger records.
  • get_monthly_ledger_summarySummarize Ledger totals by month and currency.
  • forgetPermanently delete a memory by target.
  • +8 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.

Celiums Memory

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "celiums-celiums-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@celiums/memory"
      ],
      "env": {
        "SQLITE_PATH": "YOUR_SQLITE_PATH_HERE",
        "DATABASE_URL": "YOUR_DATABASE_URL_HERE",
        "QDRANT_URL": "YOUR_QDRANT_URL_HERE",
        "VALKEY_URL": "YOUR_VALKEY_URL_HERE",
        "CELIUMS_API_KEY": "YOUR_CELIUMS_API_KEY_HERE",
        "PORT": "YOUR_PORT_HERE",
        "CELIUMS_LLM_API_KEY": "YOUR_CELIUMS_LLM_API_KEY_HERE",
        "CELIUMS_LLM_BASE_URL": "YOUR_CELIUMS_LLM_BASE_URL_HERE"
      }
    }
  }
}

Memory Os Cli

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "yonro-memory-os-cli": {
      "command": "npx",
      "args": [
        "-y",
        "--package",
        "@xmemo/client@latest",
        "xmemo-mcp"
      ]
    }
  }
}

Frequently asked questions

Celiums Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. Memory Os Cli belongs to Knowledge & Memory and uses a local stdio subprocess. Pick Celiums Memory for knowledge & memory work and Memory Os Cli 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.

Celiums Memory is listed as free. Auth: api key required. Memory Os Cli is listed as free. Auth: other. 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 celiums-celiums-memory and yonro-memory-os-cli as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Celiums Memory has a quality signal of 56/100 (Good) with 3 views, 0 installs and 23 GitHub stars. Memory Os Cli has 65/100 (Great) with 3 views, 0 installs and 12 GitHub stars.