In-depth architectural comparison of the Genesys Memory and Mem0 MCP Selfhosted MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Genesys Memory
Knowledge & Memory · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
Mem0 MCP Selfhosted
Knowledge & Memory · Local stdio
Quality: 57/100 (Good) | Auth: other
Verdict Summary: Choose Genesys Memory if you need specialized Knowledge & Memory tools running via a local process. Choose Mem0 MCP Selfhosted if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Genesys Memory when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Open-source causal memory for AI agents: persistent, explainable, MCP-native memory (13 tools).
Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth, split-model graph routing, session hooks for automatic cross-session memory, and 11 tools. Supports both Anthropic and fully local Ollama setups.
Store a new memory. Use `related` for writer-specified **typed** edges (`{id, type}`); `related_to` is legacy and always creates `caused_by`. Optional `category`. May return `possible_conflicts` (heuristic hints).
memory_amend
Record a correction: creates a new memory that **supersedes** an existing one. The old memory is kept (decayed in recall), not deleted.
memory_recall
Recall memories by natural language query (vector + keyword + graph spreading activation). Supports `verbosity: "concise"` for lightweight payloads.
memory_search
Filtered vector search by status, category, date (`since`), last-active date (`active_since`), or entity. Pass an **empty query** to enumerate by recency instead (no embedder needed) — with `since`/`active_since` this answers "what's new since I last looked" without knowing what to query for.
memory_traverse
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Genesys Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Mem0 MCP Selfhosted belongs to Knowledge & Memory using local stdio subprocess. Select Genesys Memory when you need capabilities focused on knowledge & memory and Mem0 MCP Selfhosted when you require tools for knowledge & memory.
Walk the causal graph from a node. Returns reachable **nodes and the edges** of the induced subgraph (`source/target/type/weight/created_by`) — a superset of the BFS tree, so paths can be reconstructed. Honors `edge_types`.
memory_explain
Explain a memory's score. Includes a `score_model` block (formula + live per-force breakdown + staleness note) and `removal_impact`.
memory_stats
Get memory system statistics
pin_memory
Pin a memory so it's never forgotten
unpin_memory
Unpin a previously pinned memory
delete_memory
Permanently delete a memory
list_core_memories
List core memories, optionally filtered by category
set_core_preferences
Set user preferences for core memory categories
+1 more tools listed on main page
Mem0 MCP Selfhosted Tools (11)
add_memory
Store text or conversation history as memories. Supports `enable_graph`, `infer`, `metadata`.
search_memories
Semantic search with optional `filters`, `threshold`, `rerank`, `enable_graph`.
get_memories
List/filter memories (non-search). Supports `limit` and scope filters.
get_memory
Fetch a single memory by UUID.
update_memory
Replace memory text. Re-embeds and re-indexes in Qdrant.
delete_memory
Delete a single memory by UUID.
delete_all_memories
Bulk-delete all memories in a scope.
list_entities
List users/agents/runs with memory counts. Uses Qdrant Facet API.
delete_entities
Cascade-delete an entity and all its memories.
search_graph
Search Neo4j entities by name substring. Returns entities + outgoing relationships.
get_entity
Get all relationships for an entity (bidirectional: incoming + outgoing).