Mnemo
Persistent AI memory with hybrid search and embedded sync.
Connector by n24q02m · GitHub account verified by the MCP Registry
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About
Use cases: agent-memory, knowledge-base
Reviews
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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_memoriesmemory_statssearch_memory
Write 8 · Create, change, send or run things.
add_memoryarchived_memoriesconfigconsolidate_memoriesexport_memoriesimport_memoriesrestore_memoryupdate_memory
Delete 2 · Delete, drop, revoke or wipe things.
delete_memorymemory
Network hosts it talks to 3
github.com· found in codeglama.ai· found in codeopenrouter.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 MemoryStore 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 MemoriesList archived memories. ACTION GUIDE — when to use: - Use to view memories that have been soft-deleted or automatically archived due to low importance/recency.
configConfigServer 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 MemoriesSummarize 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 dataRemove 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 MemoriesExport 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 MemoriesImport 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-onlyBrowse 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-onlyShow 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 MemoryRestore 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-onlyFind 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 MemoryModify 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
- Repository
- github.com/n24q02m/mnemo
- 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)