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Mnemo

Persistent AI memory with hybrid search and embedded sync.

Connector by n24q02m · GitHub account verified by the MCP Registry

IndexedApache-2.0Remote (HTTP)★ 12
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About

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Use cases: agent-memory, knowledge-base

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.

Tools
3 read · 8 write · 2 delete
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 13

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • list_memories
  • memory_stats
  • search_memory

Write 8 · Create, change, send or run things.

  • add_memory
  • archived_memories
  • config
  • consolidate_memories
  • export_memories
  • import_memories
  • restore_memory
  • update_memory

Delete 2 · Delete, drop, revoke or wipe things.

  • delete_memory
  • memory

Network hosts it talks to 3

  • github.com · found in code
  • glama.ai · found in code
  • openrouter.ai · found in code

Files it touches

  • Your home directory (~)
  • ~/.mnemo
  • ~/.mnemo/config.toml
  • ~/.mnemo/config.toml.
  • ~/.mnemo/memories.db
  • ~/.mnemo/subs
  • Any path the agent passes to its tools

Tools (13)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • add_memoryAdd Memory

    Store NEW information. Use for preferences, decisions, facts. ACTION GUIDE — when to use: - Use when saving new information for the first time. Example: content='User prefers dark mode', category='preference', tags=['ui']

  • archived_memoriesArchived Memories

    List archived memories. ACTION GUIDE — when to use: - Use to view memories that have been soft-deleted or automatically archived due to low importance/recency.

  • configConfig

    Server configuration. Actions: status | set | warmup | backfill_embeddings. ACTION GUIDE — when to use each: - status: Show current configuration, provider cells, auth mode, and database stats. - set: Update a setting. Requires 'key' and 'value'. Valid key: 'log_level' (str). - warmup: Pre-download local embedding model (~570 MB) / probe the embed cell. - backfill_embeddings: Embed active rows missing a vector; optional batch_size is bounded to 100.

  • consolidate_memoriesConsolidate Memories

    Summarize similar memories in a category (requires LLM API keys). ACTION GUIDE — when to use: - Use when a category has too many redundant or closely related memories and needs cleanup. Example: category='preference'

  • delete_memoryDelete Memorycan change or delete data

    Remove a memory by ID. ACTION GUIDE — when to use: - Use when a memory is completely outdated, incorrect, or explicitly requested to be forgotten. Example: memory_id='abc123'

  • export_memoriesExport Memories

    Export all memories as JSONL. ACTION GUIDE — when to use: - Use when the user requests a backup or raw dump of their memory database.

  • import_memoriesImport Memories

    Import memories from JSONL data or a list of objects. ACTION GUIDE — when to use: - Use when restoring from a backup or migrating data into the memory system. Example: data='[{"content": "example"}]', mode='merge'

  • list_memoriesList Memoriesread-only

    Browse all memories, optionally filtered by category. ACTION GUIDE — when to use: - Use when you want to view a broad set of memories, or see what's in a specific category. Example: category='preference', limit=10

  • memoryMemorycan change or delete data

    [DEPRECATED — use the granular tools (add_memory, search_memory, ...) instead; this composite tool will be removed in a future release] Legacy dispatcher for backward compatibility. Use specialized tools (add_memory, search_memory, etc.) instead. Persistent memory store. Actions: add|search|list|update|delete|export|import|stats|restore|archived|consolidate. ACTION GUIDE — when to use each: - add: Store NEW information. Requires 'content'. Use when saving preferences, decisions, facts for the first time. Example: action='add', content='User prefers dark mode', category='preference', tags=…

  • memory_statsMemory Statsread-only

    Show database statistics (total memories, categories, embedding status). ACTION GUIDE — when to use: - Use when you need to understand the scale or health of the memory database, or check if embeddings are enabled.

  • restore_memoryRestore Memory

    Restore an archived memory by ID. ACTION GUIDE — when to use: - Use to bring a previously archived memory back into the active search pool. Example: memory_id='abc123'

  • search_memorySearch Memoryread-only

    Find existing memories by natural language query. Always search before adding. ACTION GUIDE — when to use: - Use BEFORE adding new information to avoid duplicates. Example: query='dark mode preference'

  • update_memoryUpdate Memory

    Modify an EXISTING memory by ID. Get memory_id from search results. ACTION GUIDE — when to use: - Use when an existing fact or preference changes. Example: memory_id='abc123', content='User now prefers light mode'

Signals

Stars
12
Forks
7
Open issues
1
Weekly downloads
415
Last commit
Oct 22, 2026 (6 days ago)
Last release
Oct 7, 2026 (21 days ago)
Last package publish
Oct 7, 2026 (21 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.n24q02m/mnemo
Version
2.20.1
Auth
API key
Packages
pypi mnemo-mcp
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

Mnemo MCP server. Agent Mart. https://agentmart.dev/connectors/n24q02m-mnemo (last updated 2026-10-24)