Mem0
A memory layer for AI agents and applications that preserves cross-session context in a cycle of addition, retrieval, and compression. It can be integrated into agent frameworks for long-term memory, and the official version offers graph memory, auditing, and enterprise private deployment options.
Updated: 2026-10-26
What is Mem0?
Mem0 is a memory layer for AI agents and applications. The official website title reads "AI Memory Layer for your Agents & Apps | Persistent Context". Its homepage positioning is "Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production." It solves the problem of AI agents forgetting after interactions: extracting and storing valid facts from historical interactions, then retrieving them by user identity next time to ensure a continuous experience.
Who is it for?
- Developers building AI agents with long-term memory who want their assistants to remember user preferences instead of asking the same questions every time.
- Product teams building companionship, health, education, or other products that require cross-session continuity.
- Teams with compliance requirements who need auditing, permissions, and private deployment; the Enterprise section on the official website offers on-premises deployment, audit logs, and SSO.
- Teams looking to quantify the impact of memory can refer to the benchmarks and methodology documentation on the official website.
Key features
6Three-stage workflow
The official documentation outlines the process as Add, Learn, Retrieve โ writing conversations, learning and extracting key information, and retrieving and reusing it.
Memory Compression Engine
A core component listed on the official website, this engine is used to control the scale and noise of long-term memory.
SDK Integration
The official examples provide usage methods for Python and Node.js. You can call `add` and `search` through `MemoryClient`, and filter by fields such as `user_id` during retrieval.
Domain Adaptation
The official website lists multiple example scenarios, including AI patient care assistants, chronic disease companions, treatment progress trackers and adaptive learning tutors in the healthcare sector, as well as sales assistants with persistent context in the sales sector.
Enterprise-grade Controls
The official website emphasizes Governance, Portable, and Auditable in the "Built for enterprise" section.
Evaluation & Advanced Capabilities
The official website releases DolphinBench, a memory benchmark; Pro and higher tiers offer advanced analytics, graph memory (entity linking), and Dream (memory integration).
How to use Mem0
- Official Pricing: Hobby is free (10,000 add operations, 1,000 retrieval operations, 1 project per month), Starter is $19 per month (50,000 add operations, 5,000 retrieval operations), Pro is $249 per month (500,000 add operations, 50,000 retrieval operations, unlimited projects), and Enterprise is a custom plan.
- Memory is a long-term asset.
- be sure to store it with a stable and unique user_id.
- The official examples also emphasize using the same user identifier for writing and retrieving.
- Once memory is written, it means it will be retrieved in the future.
- Clean up sensitive information and temporary data or set a reasonable update strategy, and do not store all data unconditionally.
- The usage quota of the free tier is suitable for validating effects.
- estimate the tier based on the estimated number of sessions before official launch.
- the benchmarks and package details on the official website may be updated, so recheck before making a selection.
Traffic & popularity
Data month Sep 2026
Mem0 receives about 1.1M visits per month and ranks #41,490 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct41.4%
- Search38.9%
- Referrals11.0%
- Social4.3%
- AI assistants3.5%
- Other0.9%
Top countries
- United States24.1%
- India12.2%
- China10.1%
- Germany3.8%
- Brazil3.5%
Estimated from third-party traffic data.
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