Mem0
mem0.ai
Actively hiring
LLM & Generative AI
AI Agents
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$24M
1 round on record
Latest round
$24M
Venture round · Oct 2025 · 11 mo ago
Team
51-200
employees, estimated range
Hiring now
1
open roles
Backers
1
Y Combinator
The money's age
Fresh money
11 months since the last round · hiring slowed
Momentum
50/100
in the news, fresh money, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 28, 2025
Raised a round Venture round $24M · TechCrunch
Jun 2024
Went through Y Combinator
2023
Founded
Tractionpublic signals, read monthly
Web presence
top 0.31%
of 133.2M domains by links, Common Crawl
Hacker News stories
5
best: 3 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Oct 2025 | $24M | — | TechCrunch |
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Investors in similar startupsfunds that back the companies most like this one
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Overview
Mem0 is a company founded in 2023 that builds an open-source memory layer for artificial intelligence agents. Its library extracts durable facts from conversations, stores them across vector and graph backends and injects only relevant memories back into prompts, cutting token cost and improving consistency. The project is widely adopted by developers building assistants that need to remember users over time.
News
MEMANTO - Memory that AI Agents Love!
A complete account of what memanto migrate mem0 does to your data: the endpoints it reads, how a Mem0 category becomes a typed Memanto memory, what the dry run shows before a single write, and what changes on the other side. The case for moving is built e
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Report
Helping your custom AI remember 'what you told it before': Mem0 now supports Vercel青島
It would be convenient if you could tell the AI helping you with development about the technologies you use and your preferences for answers, and then consult it based on those premises in future conversations as well.For example, 'This project uses TypeS
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Report
AI Memory for Claude: An Honest 4-Way Comparison
Four tools, four bets about what AI memory should do. Cost, privacy, and which wins for your workflow -- from a practitioner who built one of them.
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Report
MenteDB vs mem0: Token Cost & Accuracy Benchmark
A reproducible head-to-head on real LongMemEval conversations: MenteDB ingests about 7x fewer tokens, 6x cheaper, and faster than mem0 at comparable accuracy. Same models, same data, open harness. Run it yourself.
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Report
Persistent Memory for AI Agents: Why You Need Zep, Mem0, and ContextNest
Building production AI agents requires a multi-tiered persistent memory architecture. Learn how Zep, Mem0, and ContextNest work together to create a complete, governed memory stack.
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Report
Agent Memory Systems and Knowledge Graphs: Letta, Mem0, Graphiti, and Cognee
Design A close look at four approaches to long-term agent memory, from text blocks to temporal graphs
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Report
Mem0 thinks our 2023 conversation happened in 2026
We benchmarked Mem0 against our memory layer on LoCoMo. It stamped 23% of memories with today's date - even for conversations from 2023.
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Report
We Built Persistent Memory for OpenClaw (FKA Moltbot, ClawdBot) AI Agents
OpenClaw memory makes its AI agents extremely powerful. The Mem0 plugin gives your AI agent persistent memory with auto-recall and auto-capture. Setup in less than 30-seconds
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Tech stack
Technologies named in job postings at Mem0 over the last 12 months, by layer, with the share of postings for each.
Technologies in use
51
Postings analysed
5
Stack modernity
80/100AI adopter
Languages
Python
Go
TypeScript
JavaScript
Frameworks & libraries
Next.js
React.js
Celery
Django
Databases
PostgreSQL
Redis
Amazon Aurora
Amazon Neptune
Cloud & platforms
AWS
Kubernetes
vLLM
GCP
AI & ML
LLM
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Full Mem0 tech stack
51 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$250k
Open positions
1
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $250k | $250k |
Highest paying role
AI Full Stack Engineer
$250k
Normalized to USD per year
Growth
Hiring Momentum
56/100
Growing
Open positions
1
0 opened / 1 closed in 30 days
Median time-to-fill
33 days
faster than 37% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
75% ▼
AI/ML
25% ▼
Activity Timeline
Added Tool Use to stack
Oct 2026
Added Prompt Engineering to stack
Oct 2026
Added Multi-Agent Systems to stack
Oct 2026
Added Function Calling to stack
Oct 2026
Added Figma to stack
Oct 2026
Added Mem0 to stack
Sep 2026
Added Apache Kafka to stack
Sep 2026
Added IAM to stack
Aug 2026
Added Amazon S3 to stack
Aug 2026
Added Amazon CloudWatch to stack
Aug 2026
Added A/B Testing to stack
Aug 2026
Added TypeScript to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
1 open roles 2 posted in 90 days 100% engineering 50-200 est. staff $250k Avg Salary
hires for AI/ML
Jobs
$150k – $250k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Python
Go
JavaScript
TypeScript
PostgreSQL
Redis
AI/ML
vLLM
Fine-tuning
Embeddings
Prompt Engineering
Function Calling
AI Agents
LLM
RAG
Mem0
Multi-Agent Systems
Tool Use
Frontend
Next.js
React.js
DevOps
Rest API
GCP
Vercel
CI/CD
AWS
Docker
Kubernetes
Design
Figma
Apply
Financials
Total raised
$24M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2025 | $24M | Details |