How do I install the memory engine mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `MEMORY_DB_PATH`, `MEMORY_HOST`, `MEMORY_API_TOKEN` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Memory Engine MCP Server

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

Local serverstdioPython

What is the Memory Engine MCP Server?

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

What the server does

Local-first, graph-aware long-term memory for AI assistants.

full-text search (SQLite FTS5)
semantic similarity via local Ollama embeddings
confidence, recency, and weight
graph expansion from related memories

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
remember	Create or update an atom
recall	Smart hybrid recall with graph expansion
working_set	Build a task-oriented context pack
semantic_search	Pure semantic search
get_atom	Read one atom with bonds
list_atoms	Browse atoms by domain/type/status
merge_atoms	Merge duplicate atoms
export_atom	Export one atom as markdown
search_graph	Traverse the graph from one atom
suggest_bonds	Suggest bonds for one atom
suggest_bonds_all	Suggest or create bonds in bulk
curator_run	Conservative curation pass
cognitive_status	Graph and memory health metrics
learning_run	Detect contradictions, weak atoms, merge candidates, gaps
decay_run	Run decay cycle
cleanup_sessions	Remove expired session atoms
cleanup_duplicates	Remove duplicate session atoms
reindex_embeddings	Rebuild embeddings
error_check	Check past failures before doing a task
error_log	Record a mistake and the correction
error_list	Browse unresolved/resolved errors
preference_search	Search structured preferences
import_markdown	Import markdown notes into atoms
memory_summary	3-level summary: global → domain → detail
stats	Database statistics
version	Server version
recall_session	Search one OpenClaw session
session_summary	Summarize one OpenClaw session
memory_contradict	Supersede an old atom with a newer contradictory one
list_contradictions	List explicit contradiction/supersession records
classify_memory_tier	Infer the 3-tier class (episodic/semantic/procedural)
memory_impact	Impact analysis: what depends on this atom
backup_database	Create, list, verify, or clean up SQLite snapshots
restore_database	Restore from a backup (with automatic safety backup)
export_all	Export all memory data as portable JSON
import_data	Import from JSON (merge or replace mode)

How to install the Memory Engine MCP Server

{
  "mcpServers": {
    "memory-engine": {
      "url": "http://localhost:8085/sse",
      "transport": "sse"
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Example prompts to try

“Use Memory Engine MCP to Memory.”

Frequently asked questions

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.