mem0

Hiring our first data hire at @mem0ai. This isn’t a role where you join a data team, you’ll build it. From day one, you’ll own pipelines, metrics, dashboards, and what actually gets measured. Mem0 is the memory layer for AI agents. YC-backed, $24M raised, 45k+ GitHub stars,

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mem0 reposted

Taranjeet

@taranjeetio

Jan 3

2025 memories wrapped: - Released our first Mem0 research paper - Launched OpenMemory MCP - Shipped the OpenMemory Chrome Extension - Crossed 44k+ GitHub stars - Hit 18M+ Python package downloads - Powered production workloads at fast-growing startups and Fortune 500 companies -

AI agents suffer from a fundamental limitation: memory amnesia.

They forget everything after each conversation, lose context, and can’t learn from past interactions. I just released a brand new tutorial on building AI agents that actually remember and learn using Mem0.

If your New Year resolution is real impact > fancy titles We’re hiring an Applied AI Engineer in SF at Mem0. Work on the memory layer behind real AI agents. Small team. Real ownership. Problems that matter.

jobs.ashbyhq.com

Applied AI Engineer

Role Summary: Own the 0→1. You’ll turn vague customer use cases into working proofs-of-concept that showcase what Mem0 can do. This means rapid full-stack prototyping, stitching together AI tools,...

Most AI agents today are still stateless. That’s why they don’t evolve over time. They answer a query, end the session, and forget everything that happened before. This type of interaction feels okay for one-time queries, but it doesn’t hold up when users come back and expect

New cookbook: Gemini 3 + Mem0 MCP We put together a step-by-step guide showing how to add Mem0’s persistent, structured memory to a Gemini 3 workflow using the Model Context Protocol. If you're building agents that need long-term recall, consistent context, and reliable

Cookbook Link:

Gemini 3 with Mem0 MCP - Mem0

We partnered with AWS to show how developers can build persistent memory built for real-world agent workloads. The tutorial combines three components to create a robust GitHub Research Agent: - Mem0 Open Source for long-term memory orchestration. - Amazon ElastiCache for Valkey

mem0.ai/blog/build-per

When almost the entire internet is down, but

is working!

Can you spot Mem0

Quote

ElevenLabs

@elevenlabsio

Dec 3, 2025

To celebrate the holiday season, we’re launching 25 Days of Agents - an advent calendar of exclusive deals from top AI companies to help you build your own agents. Every day until December 25th, we’ll unlock a new deal from partners including @Railway @Cloudflare @convex

AI agents work best when their memory aligns with your application’s exact needs. When you’re building AI agents with memory, you often need tighter control over: • What should become long-term memory • What must be excluded for privacy • And, consistent rules that apply

mem0

@mem0ai

Dec 3, 2025

Read the docs here:

Custom Instructions - Mem0

This is how our relationship with technology will change over the next few years. Right now, most of what we do online is still reactive, we open an app, type something, search for something, send reminders, repeating the same little actions every day. My sense is that this

0:01 / 1:38

Last week, the entire Mem0 team went to Goa for our first offsite. Being a remote team based out of different parts of India and the US, everything we knew about each other so far came from online interactions and meeting in person genuinely felt different. For this offsite, we

Not every AI agent query needs the same type of memory. Some questions are about a single fact, others depend on how different facts connect and Mem0 gives you both a vector store and graph memory to handle this. A vector store works best when the answer lives in a single

Congratulations to Throwback, winners of the Mem0 Track at the

@cursor_ai

Hackathon! They integrated Mem0 to power the memory feature, enabling it to recall past conversations between generations and make each new interaction richer and more personal. Throwback is a

We’re #hiring a Data Analyst at Mem0 You’ll build our analytics foundation from 0→1 - defining metrics that matter, setting up pipelines (Postgres, PostHog, LLM outputs), and turning data into insights that guide every decision. - Bangalore, India - Full ownership - High

mem0.dev/careers/data-a

Applied to YC 7 times before finally getting in. Here’s what I learned the hard way

When I first started applying to

@ycombinator

, I treated the application like a pitch deck, trying to convince YC to invest, instead of explaining why the problem mattered. Over time (and 7

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