Bring Long Term Memory
to LlamaIndex
Create your Vinkius account to connect Mem0 to LlamaIndex and start using all 4 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Mem0 MCP Server?
Connect your AI agent to Mem0 — the industry-standard memory layer that enables agents to remember, learn, and personalize across conversations.
What you can do
- Add Memories — Store facts, preferences, and context from conversations. Mem0 AI automatically extracts key information and structures it as searchable memories
- Semantic Search — Find relevant memories using natural language queries. Ask 'What does the user prefer?' and get ranked results by relevance
- List Memories — View all stored memories for a user to build comprehensive profiles and understand accumulated context
- Delete Memories — Remove outdated or incorrect memories to keep the knowledge base clean
How it works
- Subscribe to this server
- Enter your Mem0 API key (free tier available — 10K memories/month)
- Your agent can now remember everything across sessions
Who is this for?
- AI Agent Developers — build agents that remember user preferences, past decisions, and accumulated context without re-asking
- Chatbot Builders — create conversational experiences that feel truly personal by recalling past interactions
- SaaS Teams — add persistent memory to any AI feature so users feel understood and valued
Built-in capabilities (4)
The system automatically extracts structured facts from the provided content and stores them as searchable, persistent memories associated with the given user ID. Store a new memory for a user. The AI extracts key facts and preferences from the content and stores them as persistent memories
Use with caution — this action cannot be undone. Delete a specific memory by its ID
Useful for reviewing what the agent knows about a user or for building a user profile. List all stored memories for a specific user
Returns results ranked by relevance score, enabling the agent to recall past preferences, facts, and context. Semantically search stored memories for a specific user. Returns the most relevant memories matching your query
Why LlamaIndex?
LlamaIndex agents combine Mem0 tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- —
Data-first architecture: LlamaIndex agents combine Mem0 tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Mem0 tool calls with transformations, filters, and re-rankers in a typed pipeline
- —
Multi-source reasoning: agents can query Mem0, a vector store, and a SQL database in a single turn and synthesize results
- —
Observability integrations show exactly what Mem0 tools were called, what data was returned, and how it influenced the final answer
Mem0 in LlamaIndex
Why run Mem0 with Vinkius?
The Mem0 connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 4 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Mem0 using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Mem0 and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Mem0 to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Mem0 for LlamaIndex
Every request between LlamaIndex and Mem0 is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Is Mem0 free to use?
Yes! Mem0 offers a free Hobby tier with 10,000 memories and 1,000 search calls per month — no credit card required. Paid plans start at $19/month for higher limits. An open-source version (Apache 2.0) is also available for self-hosting.
How does Mem0 extract and store memories?
When you send content to Mem0, its AI automatically extracts key facts and structured information. For example, if you send 'I prefer Python over JavaScript and work best in the morning', Mem0 creates two separate memories: one about language preference and one about work schedule. These are stored in a hybrid architecture (key-value + vector + graph) for fast semantic retrieval.
Can I organize memories by user or agent?
Yes! Every memory operation supports scoping by user_id, agent_id, or run_id. This means you can maintain separate memory banks for different users, different agents, or even different conversation runs — keeping context perfectly isolated.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Mem0 tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
Explore More MCP Servers
View all →
Courier
10 toolsEquip your AI agent to send multi-channel notifications and monitor delivery status through the Courier API.
Bureau of Labor Statistics Full — The Mega Server
1 toolsThe ultimate BLS Mega-Server: Access all 6 major datasets including CPI (Inflation), CES (Jobs), CPS (Unemployment), JOLTS (Turnover), LAUS (Local metrics), and OEWS (Wages by Profession).
Oracle Vector DB
7 toolsRun vector similarity searches on Oracle 23ai — execute VECTOR_DISTANCE queries, inspect schemas, list vector indexes, and query tables from any AI agent.
S&P Global Commodity Insights
12 toolsAccess global commodity price assessments — crude oil, natural gas, power, coal, metals, petrochemicals, and agriculture via S&P Global Platts benchmarks.