Agentcairn vs Memory Os Cli
A side-by-side look at the Agentcairn 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.
Verdict: choose Agentcairn 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?
Choose Agentcairn 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
search, recall, build_context.
Choose 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.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Knowledge & Memory | Knowledge & Memory |
| Quality signal | 63/100 · Good | 65/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | other |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
Tools & capabilities
Agentcairn tools 5
searchHybrid search over memory; returns a compact id+snippet index. Reranks by default (set CAIRN_RERANK=0 to disable, or pass rerank=false). Recall prefers your current project's memories (boosted, non-lossy): pass `project` (a repo name) to target another project, else the server's working directory is used. `scope="project"` hard-limits results to that project.recallSearch then hydrate the top-k notes' full text. Reranks by default (set CAIRN_RERANK=0 to disable, or pass rerank=false). Recall prefers your current project's memories (boosted, non-lossy): pass `project` (a repo name) to target another project, else the server's working directory is used. `scope="project"` hard-limits results to that project.build_contextReturn a note plus its 1-hop linked neighbors.recentList the most-recently-modified notes.rememberPersist a distilled memory (redacted, non-lossy) into the vault.
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.
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.
Agentcairn
{
"mcpServers": {
"ccf-agentcairn": {
"command": "uvx",
"args": [
"agentcairn"
]
}
}
}
Memory Os Cli
{
"mcpServers": {
"yonro-memory-os-cli": {
"command": "npx",
"args": [
"-y",
"@xmemo/client"
]
}
}
}
Frequently asked questions
Agentcairn 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 Agentcairn 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.
Agentcairn is listed as free. Auth: no auth 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 ccf-agentcairn and yonro-memory-os-cli as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Agentcairn has a quality signal of 63/100 (Good) with 3 views, 0 installs and 65 GitHub stars. Memory Os Cli has 65/100 (Great) with 3 views, 0 installs and 12 GitHub stars.