Mem0
Mem0 provides a universal memory layer for LLM applications and AI agents, enabling persistent cross-session context via a hybrid vector-graph-key-value datastore. The platform serves 90,000+ developers and enterprise customers including Netflix, Walmart, and PwC through a freemium, API-first product.
- Company typePrivate
- Founded2023
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Mem0 does
Mem0 (legal entity Embedchain, Inc.) is a San Francisco-based AI infrastructure company that provides a universal memory layer for LLM applications and AI agents. The platform addresses the statelessness of large language models by extracting, storing, updating, and retrieving user preferences, interaction history, and contextual knowledge across sessions, frameworks, and applications. Mem0 reports 90,000+ developers building on its platform, 14 million+ cumulative downloads, 41,000+ GitHub stars, 186 million API calls in Q3 2025 (up from 35 million in Q1 2025), and over 1 billion tokens processed per day, with adoption spanning Fortune 500 customers (Netflix, Walmart Global Tech, TrendMicro, PwC, Lemonade, Rocket Money) and growth-stage startups.
The core technology is a hybrid datastore combining vector, graph, and key-value stores, with a token-efficient memory algorithm (v3) that uses multi-signal retrieval (semantic + BM25 keyword + entity boost) and built-in graph memory without external graph store dependencies. The platform exposes Python and Node.js/TypeScript SDKs, a CLI, a Model Context Protocol (MCP) server at mcp.mem0.ai, and plugins for Claude Code, Cursor, Codex, Antigravity, and OpenCode coding agents. Recent additions include temporal reasoning, memory decay (recency-aware ranking), and enterprise governance features (SOC 2 Type 1, HIPAA, BYOK, zero-trust, audit logging, Kubernetes/private cloud/air-gapped deployment).
Mem0 employs a freemium, product-led growth motion with a free tier, self-serve paid tiers (Starter/Pro) with monthly or annual billing, usage-based overages, and an enterprise tier priced via custom Order Form with annual contracts. The company raised approximately $24 million in a combined Seed and Series A round in October 2025 (Basis Set Ventures led the Series A; Kindred Ventures led the seed; Peak XV Partners, GitHub Fund, and Y Combinator participated), AWS selected Mem0 as the exclusive memory provider for its Agent SDK, and the company maintains 25+ partner framework integrations including LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, and Google ADK. Mem0 was founded in 2023 by Taranjeet Singh (formerly Paytm and Khatabook) and Deshraj Yadav (formerly Tesla), building on their prior Embedchain RAG framework.
Mem0 firmographics
Firmographics- Name
- Mem0
- Legal name
- Embedchain, Inc.
- Website
- https://mem0.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Mem0 provides a universal memory layer for LLM applications and AI agents, enabling persistent cross-session context via a hybrid vector-graph-key-value datastore. The platform serves 90,000+ developers and enterprise customers including Netflix, Walmart, and PwC through a freemium, API-first product.
- Ownership category
- akta.pro rank
Mem0 industry classification
Industry- Product category
- AI Memory Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
Keywords
Where Mem0 is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Mem0 business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- Free Plan: No-charge, usage-capped subscription tier enabling access to the Mem0 Service. Customer Content from Free Plan users can be used by Mem0 for training and improving AI/ML models.
- Paid Plan Tiers (Starter, Pro, Enterprise): Subscription-based paid tiers with prepaid monthly or annual billing for self-serve plans; enterprise subscriptions billed via Order Forms (typically 1-year Initial Term with auto-renewal, 30-day invoicing). Customer Content from Paid Plan users is not used to train AI models.
- Usage-Based Overages: Usage-based overages beyond applicable plan limits are billed in accordance with rates published on the Platform or set forth in the applicable Order Form.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free Plan |
| Subscription | Monthly | Starter / Pro Plans (Self-Serve Paid Tiers) |
| Subscription | Annual | Enterprise Tier |
| Freemium | Pay-as-you-go | LLM Memory Plans Starting Free |
| Freemium | Pay-as-you-go | AI Memory Startup Program |
Go-to-market motion1 record
Marketing channels8 records
Mem0 product offering
Product offeringCore offering
Mem0 provides a managed AI memory infrastructure platform that adds persistent, self-improving memory to LLM applications and AI agents. It exposes add, search, update, and delete operations through a REST API and Python/Node SDKs, combining vector, graph, and key-value storage with hybrid retrieval (semantic + BM25 + entity boost), automatic memory extraction and updates, temporal reasoning, and memory decay. Customers include AI developers building coding and voice agents, startups personalizing their products, and Fortune 500 enterprises that need SOC 2 Type 1, HIPAA, BYOK, and zero-trust governance.
Product overview
Mem0 offers a single product concept — a universal, self-improving memory layer for LLM applications and AI agents — delivered through a platform-plus-modules architecture. The managed Mem0 Platform (SOC 2 Type 1, HIPAA, BYOK, zero-trust) is the core offering, complemented by the self-hostable Mem0 Open Source stack, the Mem0 SDK (Python and Node.js/TypeScript with @mem0/vercel-ai-provider for Vercel AI SDK v6), the Mem0 CLI, and the OpenMemory MCP server and Chrome extension as product extensions. Vertical solutions (Customer Support, Healthcare, Education, Sales & CRM, E-Commerce) and the Mem0 Companion / Personalized AI Tutor reference app sit on top of the same platform. The Mem0 Plugin for AI Editors and Mem0 Skills extend the platform into Claude Code, Cursor, Codex, Antigravity, and OpenCode coding agents.
Differentiator
Problem solved
Functional benefit
Brands
- OpenMemory: A Mem0-branded product line including the OpenMemory Chrome Extension and OpenMemory MCP server that provides cross-client persistent memory and AI Tools integration.
- Mem0 Platform
- OpenClaw
Products and services
- Mem0 Platform Hosted memory infrastructure for AI agents and apps, providing a drop-in API for add/search/update/delete memory operations with SOC 2 Type 1, HIPAA, BYOK, zero-trust governance, memory compression engine, multi-signal retrieval (semantic + BM25 + entity boost), built-in graph memory, memory decay, temporal reasoning, and full observability.
- Mem0 Open Source Self-hostable version of the Mem0 stack with full control over data, deployment, and customization, supporting vector + graph + key-value hybrid datastore, multiple LLM providers, and pluggable storage backends (Qdrant, pgvector, Chroma, Redis, Elasticsearch, Milvus, and others).
- Mem0 SDK Client libraries in Python (mem0ai, v2.0.2 / v3.0.0) and Node.js / TypeScript (@mem0/vercel-ai-provider v3.0.0, Vercel AI SDK v6 compatible) that expose memory operations, project management, and CLI bindings for developers.
- Mem0 CLI Command-line interface for Mem0 published on PyPI (mem0-cli) and npm (@mem0/cli) supporting add, search, list, get, update, delete, import, config, init, status, entity, event commands, including an "Agent Mode" (mem0 init --agent) that lets AI agents mint API keys without a human in the loop.
- OpenMemory MCP Mem0-branded Model Context Protocol server exposing 9 MCP memory tools (add, search, get, update, delete, bulk delete, entity management) via a cloud endpoint at mcp.mem0.ai, including a Claude Desktop integration and serving as the integration path for Claude Code, Cursor, Codex, Antigravity, and OpenCode plugins.
- OpenMemory Chrome Extension Chrome browser extension branded "OpenMemory" that brings Mem0's persistent memory and RAG context to LLM interactions directly from the browser.
- Mem0 Plugin for AI Editors Unified Mem0 plugin for Claude Code, Cursor, and Codex AI editors delivering 9 MCP memory tools, lifecycle hooks (session start, context compaction, task completion, session end), cloud MCP server, and dedicated skill files per editor.
- Mem0 Skills Skills-based knowledge layer for AI coding agents including Mem0 Core Skill, Mem0 CLI Skill, Mem0 Vercel AI SDK Skill, and Mem0 Codex Skill, published on skills.sh to deliver in-context documentation inside agent sessions.
- Mem0 for E-Commerce Mem0 vertical offering for online retail providing personalized product discovery (taste, size, intent, price range), cart and search recall across sessions and devices, smarter upsells and bundles, reorder anticipation, and shopper-profile memory with SOC 2-level safeguards and sub-150ms latency.
- Mem0 for Customer Support Mem0 vertical offering for support agents and chatbots providing full issue history recall, omnichannel context across chat, email, and voice, early pattern detection across users, time-aware memory, and personalized responses powered by past tickets and tone.
- Mem0 for Healthcare Mem0 vertical offering for healthcare including Smart Patient Care Assistant (patient history, allergies, treatment preferences), Chronic Condition Companion, and Therapy Progress Tracker; HIPAA-compliant and supporting Business Associate Agreements.
- Mem0 for Education Mem0 vertical offering for adaptive learning tutors that adapts to each student's pace and learning style by remembering what works best, transforming one-size-fits-all lessons into personalized learning that evolves with every interaction.
- Mem0 for Sales & CRM Mem0 vertical offering for sales providing a Sales Assistant with Persistent Context that tracks every interaction, objection, and milestone across long sales cycles, giving reps instant recall at every touchpoint.
- Mem0 Companion / Personalized AI Tutor Reference Next.js companion application built on Mem0 that retains user information across interactions for tailored, context-aware responses, used as the showcase demo app and entry point for companion experiences.
Quantifiable outcome
- Reduces LLM token usage by up to 90% and operating costs by up to 80%
- +8 more outcomes
Companies that use Mem0
Customer profileNamed customers10 records
Segments7 records
Ideal customer profiles3 records
Mem0 technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration37 records
AI capability12 records
Feature9 records
Mem0 partnerships and signals
Strategic signalScale indicators13 records
Recent moves7 records
Expansion highlights6 records
Mem0 competitors and assessment
Company assessmentBroad incumbents
- LangChain: LangChain offers a broad agent framework that includes memory modules and integrations for AI applications; while Mem0 is a partner that plugs into LangChain, LangChain's own memory capabilities compete for the same developer budget and roadmap attention.
- OpenAI: OpenAI ships native memory features across ChatGPT and the API that compete directly with Mem0's third-party memory layer for the same LLM application use cases; Mem0's benchmarks explicitly position against OpenAI memory on accuracy and cost.
- LlamaIndex: LlamaIndex provides a broader data framework for LLM applications including memory and RAG components that overlap with Mem0's memory layer; Mem0 integrates with LlamaIndex but competes for the same agent memory workloads.
- AWS (Amazon Bedrock AgentCore): AWS Bedrock Agents and AgentCore provide managed agent runtimes with memory capabilities and is both a distribution partner (selecting Mem0 as exclusive memory provider for its Agent SDK) and a potential competitor as AWS expands first-party memory features.
Emerging players
- Supermemory: Supermemory is an early-stage AI memory infrastructure startup offering a "memory API" for applications and agents with cross-app persistent context, targeting the same emerging agent-memory category as Mem0.
Others
- Redis: Redis (with vector search and LangCache) provides short-term memory and vector storage backends that Mem0 integrates with as a backend; it is adjacent infrastructure enabling similar agent memory use cases rather than a competing memory layer.
- Pinecone: Pinecone is a managed vector database used as a backend store in many RAG and memory architectures; it is adjacent infrastructure rather than a direct competitor but overlaps in the retrieval stack that Mem0's hybrid datastore is built on.
Direct peers
- Letta: Letta (formerly MemGPT) provides persistent memory and state management for LLM agents with an open-source core, targeting the same agent-memory developer category as Mem0 with comparable retrieval and long-context memory features.
- Cognee: Cognee is an open-source memory layer for AI agents that builds knowledge graphs from conversations and documents to power retrieval-augmented memory — a direct functional competitor to Mem0's graph memory and hybrid retrieval capabilities.
- Zep: Zep is a long-term memory service for AI assistants and agents, offering a GraphRAG-based memory layer with fact extraction and temporal reasoning — directly competing with Mem0's hybrid vector+graph memory offering for the same developer and enterprise persona.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Mem0 social profiles
Digital presenceMem0 compliance and trust
Trust signalCompliance3 records
Mem0 financial estimates
Financial estimateRevenue estimate
Valuation estimate
Mem0 leadership team
Management profileNumber of profiles
Profiles2 records
Mem0 funding detail
Funding detailFunding overview
Funding rounds4 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Mem0 M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Mem0
What does Mem0 do?
Mem0 provides a managed AI memory infrastructure platform that adds persistent, self-improving memory to LLM applications and AI agents. It exposes add, search, update, and delete operations through a REST API and Python/Node SDKs, combining vector, graph, and key-value storage with hybrid retrieval (semantic + BM25 + entity boost), automatic memory extraction and updates, temporal reasoning, and memory decay. Customers include AI developers building coding and voice agents, startups personalizing their products, and Fortune 500 enterprises that need SOC 2 Type 1, HIPAA, BYOK, and zero-trust governance.
Is Mem0 a public or private company?
Mem0 is a private company. It is classified as venture growth investor backed and is currently operating.
When was Mem0 founded?
Mem0 was founded in 2023. It employs 1 to 10 people.
Where is Mem0 based?
Mem0 is headquartered in San Francisco, United States, in the North America region.
How does Mem0 make money?
Three revenue lines are on record. Free Plan is the primary driver. The others are paid Plan Tiers (Starter, Pro, Enterprise) and usage-Based Overages.
Who are Mem0's main competitors?
Broad incumbents on record are LangChain, OpenAI, LlamaIndex and AWS (Amazon Bedrock AgentCore). Supermemory is listed as an emerging player. Others are Redis and Pinecone. Direct peers are Letta, Cognee and Zep.
Does Mem0 have an API?
Yes. Public REST API for memory operations including add, search, update, delete, get, and list memories, with optional CRUD over vector, graph, and key-value storage. Authentication via API key provisioned through the Mem0 dashboard (app.mem0.ai). SDKs available in Python (mem0ai) and Node.js/TypeScript (@mem0/vercel-ai-provider, Vercel AI SDK v6 compatible). Also exposes a CLI (@mem0/cli, mem0-cli on PyPI) and an agent-first CLI flow (mem0 init --agent) that mints a working API key without email/dashboard. Platform webhooks, metadata filtering, and pagination supported. Free Plan and Paid Plan tiers. Developer documentation is at docs.mem0.ai.
What industry is Mem0 in?
Mem0's product category is AI Memory Infrastructure. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 5182 and its SIC code is 7372.