Ainative Memory MCP server
Cloud-persistent, semantic-search memory MCP — drop-in for server-memory, backed by ZeroDB.
0 stars269 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Ainative Memory tools (10, 5 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
add_observationsAdd new observations to existing entities in the knowledge graph.
create_entitieswrite actionCreate multiple new entities in the knowledge graph. Entities are the fundamental nodes with a name, type, and list of observations. Stored in ZeroDB cloud — persists across sessions and devices.
create_relationswrite actionCreate multiple new relations between entities in the knowledge graph. Relations should be in active voice.
delete_entitieswrite actionDelete multiple entities and their associated relations from the knowledge graph.
delete_observationswrite actionDelete specific observations from entities in the knowledge graph.
delete_relationswrite actionDelete multiple relations from the knowledge graph.
open_nodesOpen specific nodes in the knowledge graph by their names.
read_graphRead the entire knowledge graph from ZeroDB cloud storage.
search_nodesSearch for nodes in the knowledge graph based on a text query. Matches against entity names, types, and observation content (case-insensitive substring match).
search_nodes_semanticSearch for nodes in the knowledge graph using semantic vector similarity. Unlike search_nodes which does exact text matching, this finds entities by meaning — e.g., searching "machine learning frameworks" would find entities about "PyTorch" or "TensorFlow" even without those exact words.
Public scan report
scanner v0.1.10 · 2026-11-05 · same rubric, same numbers if you re-run it
- Code scan2 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 41 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Ainative Memory compares
Against every graded Web search MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 89/100
- higher than 85% of 3,443 Web search servers
- Tools
- 10
- the typical Web search server has 5
- Tools that change things
- 50%
- typical: 0%. Fewer write tools means less an agent can break
- Downloads a week
- 269
- more than 74% of 994 Web search servers with a package
What its tools let an agent do: 3 read · 4 create · 3 delete
Install Ainative Memory in Claude Code, Cursor or VS Code
Runs npx -y ainative-memory-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add ainative-memory-mcp -- npx -y ainative-memory-mcp
What the publisher says
From the Ainative Memory repository's README, as published. We do not edit it. Read it on GitHub
ainative-memory-mcp
Enhanced MCP knowledge graph memory server with cloud persistence and semantic search. Drop-in replacement for @modelcontextprotocol/server-memory.
Why this instead of server-memory?
Quick Start
Claude Desktop / Claude Code
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "ainative-memory-mcp"],
"env": {
"ZERODB_API_KEY": "ak_your_key"
}
}
}
}No API key? Just omit it — a free ZeroDB instance is auto-provisioned on first run.
Cursor / Windsurf / VS Code
Same config in your .mcp.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "ainative-memory-mcp"],
"env": {
"ZERODB_API_KEY": "ak_your_key"
}
}
}
}Get an API Key
npx zerodb-cli initOr sign up at ainative.studio.
Tools (10)
All 9 original server-memory tools plus semantic search:
Original Tools
New Tool
Semantic Search Example
The original searchnodes only finds exact text matches. searchnodes_semantic understands meaning:
search_nodes("ML frameworks") -> might find nothing
search_nodes_semantic("ML frameworks") -> finds "PyTorch", "TensorFlow", "JAX"Environment Variables
*If no credentials are provided, a free instance is automatically provisioned on first run.
Auto-Provisioning
On first run without credentials:
- A free ZeroDB instance is provisioned automatically
- Credentials are saved to .mcp.json and .env in your project
- A claim URL is printed so you can take ownership of the instance
- Everything works immediately — no signup required
How It Works
Instead of writing to a local memory.jsonl file, this server:
- Entities are stored as rows in a ZeroDB NoSQL table (kg_entities)
- Relations are stored in a separate table (kg_relations)
- Vector embeddings are automatically generated for each entity via ZeroMemory, enabling semantic search
- All data persists in the cloud and is accessible from any device with the same API key
Migration from server-memory
- Replace @modelcontextprotocol/server-memory with ainative-memory-mcp in your MCP config
- Add ZERODBAPIKEY to your env (or let it auto-provision)
- Re-create your entities (one-time migration — your old JSONL data stays on disk)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Ainative Memory: common questions
- Is Ainative Memory MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the Ainative Memory safety report
- How do I install Ainative Memory?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Ainative Memory need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Ainative Memory maintained?
- The last commit was 52 days ago (2026-09-25). The latest release is v1.0.1.
- What can I use instead of Ainative Memory?
- Servers from other publishers that do the same job: Octobrain MCP server, Marm MCP server and Shodh Memory MCP server.
- How does Ainative Memory compare with other Web search MCP servers?
- safety score 89/100 (higher than 85% of 3,443 Web search servers); tools 10 (the typical Web search server has 5); tools that change things 50% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Ainative Memory
Same job from other publishers: the closest match first, then the best rated.
- OctobrainPersistent memory for AI assistants with semantic search and knowledge graph relationships.not reviewedGrowingA
- MarmUniversal MCP Server with advanced AI memory capabilities and semantic search.not reviewedEstablishedA
Shodh MemoryCognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.not reviewedEstablishedC- M3 MemoryLocal-first, cloud-friendly memory — 100+ tools, 99.2% LongMemEval-S retrieval@8, hybrid search.not reviewedEstablishedA
- Ori MemoryPersistent memory infrastructure for AI agents. Identity, knowledge graph, and search.not reviewedEstablishedA