Great to see OpenClaw integration in the Mem0 ecosystem! Robust memory is the backbone of reliable agents, and having both cloud and self-hosted options via Apache 2.0 is a huge win for the community. Keep up the great work standardizing these agentic building blocks!
February 10, 2026 at 5:53 AM
Great to see OpenClaw integration in the Mem0 ecosystem! Robust memory is the backbone of reliable agents, and having both cloud and self-hosted options via Apache 2.0 is a huge win for the community. Keep up the great work standardizing these agentic building blocks!
@openclaw-x.bsky.social memory plugin - #OpenMemory by Mem0
Cloud or Self-Hosted
Apache 2.0 lic
#AI #Agents #OnowledgeGroah #OpenSource
docs.mem0.ai/integrations...
Cloud or Self-Hosted
Apache 2.0 lic
#AI #Agents #OnowledgeGroah #OpenSource
docs.mem0.ai/integrations...
OpenClaw - Mem0
docs.mem0.ai
February 6, 2026 at 2:50 PM
@openclaw-x.bsky.social memory plugin - #OpenMemory by Mem0
Cloud or Self-Hosted
Apache 2.0 lic
#AI #Agents #OnowledgeGroah #OpenSource
docs.mem0.ai/integrations...
Cloud or Self-Hosted
Apache 2.0 lic
#AI #Agents #OnowledgeGroah #OpenSource
docs.mem0.ai/integrations...
Ask HN: Mem0 stores memories, but doesn't learn user patterns
C: https://news.ycombinator.com/item?id=46891715
posted on 2026.02.04 at 16:02:34 (c=1, p=4)
C: https://news.ycombinator.com/item?id=46891715
posted on 2026.02.04 at 16:02:34 (c=1, p=4)
February 4, 2026 at 10:33 PM
Ask HN: Mem0 stores memories, but doesn't learn user patterns
C: https://news.ycombinator.com/item?id=46891715
posted on 2026.02.04 at 16:02:34 (c=1, p=4)
C: https://news.ycombinator.com/item?id=46891715
posted on 2026.02.04 at 16:02:34 (c=1, p=4)
Mem0 stores memories, but doesn't learn user patterns We're a YC W23 company building AI agents for engineering labs - our customers run similar analyses repeatedly, and the agent treated e...
Origin | Interest | Match
Origin | Interest | Match
Mem0 stores memories, but doesn't learn user patterns | Hacker News
news.ycombinator.com
February 4, 2026 at 9:18 PM
Mem0: Do AI Agents Really Need Memory? (Honest Review) The AI memory layer everyone’s talking about — but should you actually use it? Continue reading on Medium »
#ai #machine-learning #llm #data-engineering #data-science
Origin | Interest | Match
#ai #machine-learning #llm #data-engineering #data-science
Origin | Interest | Match
Awakari App
awakari.com
January 27, 2026 at 5:31 AM
Mem0: Do AI Agents Really Need Memory? (Honest Review) The AI memory layer everyone’s talking about — but should you actually use it? Continue reading on Medium »
#ai #machine-learning #llm #data-engineering #data-science
Origin | Interest | Match
#ai #machine-learning #llm #data-engineering #data-science
Origin | Interest | Match
Building AI apps that remember: Mem0 vs Supermemory
https://blog.logrocket.com/building-ai-apps-mem0-supermemory
https://blog.logrocket.com/building-ai-apps-mem0-supermemory
January 26, 2026 at 4:30 PM
Building AI apps that remember: Mem0 vs Supermemory
https://blog.logrocket.com/building-ai-apps-mem0-supermemory
https://blog.logrocket.com/building-ai-apps-mem0-supermemory
mem0 is just letta but worse, that's just stuffing the system prompt with relevant text clippings, not similar to parametric memory at all...
January 25, 2026 at 3:53 AM
mem0 is just letta but worse, that's just stuffing the system prompt with relevant text clippings, not similar to parametric memory at all...
I've heard of something similar called mem0, very cool work!
January 25, 2026 at 3:49 AM
I've heard of something similar called mem0, very cool work!
whose primary objective is maximizing information density per token.
📉 30× fewer inference tokens
📈 +26.4% avg F1 (vs Mem0)
⚡ 50.2% faster retrieval (vs Mem0)
📄 Paper: arxiv.org/abs/2601.02553
🔗 Code: github.com/aiming-lab/S...
📦 Website：https://aiming-lab.github.io/SimpleMem-Page/
📉 30× fewer inference tokens
📈 +26.4% avg F1 (vs Mem0)
⚡ 50.2% faster retrieval (vs Mem0)
📄 Paper: arxiv.org/abs/2601.02553
🔗 Code: github.com/aiming-lab/S...
📦 Website：https://aiming-lab.github.io/SimpleMem-Page/
January 25, 2026 at 1:42 AM
whose primary objective is maximizing information density per token.
📉 30× fewer inference tokens
📈 +26.4% avg F1 (vs Mem0)
⚡ 50.2% faster retrieval (vs Mem0)
📄 Paper: arxiv.org/abs/2601.02553
🔗 Code: github.com/aiming-lab/S...
📦 Website：https://aiming-lab.github.io/SimpleMem-Page/
📉 30× fewer inference tokens
📈 +26.4% avg F1 (vs Mem0)
⚡ 50.2% faster retrieval (vs Mem0)
📄 Paper: arxiv.org/abs/2601.02553
🔗 Code: github.com/aiming-lab/S...
📦 Website：https://aiming-lab.github.io/SimpleMem-Page/
January 19, 2026 at 4:04 PM
Overview - Mem0
Self-host Mem0 with full control over your infrastructure and data
docs.mem0.ai
January 12, 2026 at 1:48 AM
I'm currently working on two separate systems, of different complexity. The first is long-term memory (of discussions and user preferences). There are some libraries that already exist that do this such as mem0, but I want her to to track usernames between Discord and Twitch.
January 6, 2026 at 6:47 PM
I'm currently working on two separate systems, of different complexity. The first is long-term memory (of discussions and user preferences). There are some libraries that already exist that do this such as mem0, but I want her to to track usernames between Discord and Twitch.
Mem0 paper: arxiv.org/abs/2504.19413
They're building a full RAG pipeline, but that involves memory compaction so their approach is useful to reference (section 2.1)
They're building a full RAG pipeline, but that involves memory compaction so their approach is useful to reference (section 2.1)
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency...
arxiv.org
December 30, 2025 at 7:44 PM
Mem0 paper: arxiv.org/abs/2504.19413
They're building a full RAG pipeline, but that involves memory compaction so their approach is useful to reference (section 2.1)
They're building a full RAG pipeline, but that involves memory compaction so their approach is useful to reference (section 2.1)
For memory specifically, basically every memory provider, Mem0 has a preprint about this I think - for compaction in general, every agent harness has its own solution, I can dig up some links
December 30, 2025 at 7:41 PM
For memory specifically, basically every memory provider, Mem0 has a preprint about this I think - for compaction in general, every agent harness has its own solution, I can dig up some links
I create an open source free Alternative of Mem0 and i've been iterating over it, today i integrated it into notion to allow users to import notion docs directly into their ai agents without having to copy the actual page to the agent. Now you can create docs in copilot
github.com/Intina47/con...
github.com/Intina47/con...
GitHub - Intina47/context-sync: 🔄 The Memory Layer for AI Development .
🔄 The Memory Layer for AI Development . Contribute to Intina47/context-sync development by creating an account on GitHub.
github.com
December 10, 2025 at 11:53 AM
I create an open source free Alternative of Mem0 and i've been iterating over it, today i integrated it into notion to allow users to import notion docs directly into their ai agents without having to copy the actual page to the agent. Now you can create docs in copilot
github.com/Intina47/con...
github.com/Intina47/con...
build v buy, control v convenience. it was gemini's metaphor.
i found it fascinating learning how this stuff really works.
vector matching and the whole bit. fascinating.
really love the brainstorm to only store important pieces of info rather than the entire messages.
github.com/mem0ai/mem0
i found it fascinating learning how this stuff really works.
vector matching and the whole bit. fascinating.
really love the brainstorm to only store important pieces of info rather than the entire messages.
github.com/mem0ai/mem0
GitHub - mem0ai/mem0: Universal memory layer for AI Agents
Universal memory layer for AI Agents. Contribute to mem0ai/mem0 development by creating an account on GitHub.
github.com
December 8, 2025 at 1:11 AM
build v buy, control v convenience. it was gemini's metaphor.
i found it fascinating learning how this stuff really works.
vector matching and the whole bit. fascinating.
really love the brainstorm to only store important pieces of info rather than the entire messages.
github.com/mem0ai/mem0
i found it fascinating learning how this stuff really works.
vector matching and the whole bit. fascinating.
really love the brainstorm to only store important pieces of info rather than the entire messages.
github.com/mem0ai/mem0
⚡ Groq Llama-3.3 (fast inference)
🧠 Voyage AI for high-fidelity embeddings
🗄️ Upstash Vector for Hybrid (dense + sparse) search
🗃️ Supabase for raw data storage and extracted facts
📝 Mem0-style atomic fact extraction and consolidation
🧠 Voyage AI for high-fidelity embeddings
🗄️ Upstash Vector for Hybrid (dense + sparse) search
🗃️ Supabase for raw data storage and extracted facts
📝 Mem0-style atomic fact extraction and consolidation
December 7, 2025 at 11:00 PM
⚡ Groq Llama-3.3 (fast inference)
🧠 Voyage AI for high-fidelity embeddings
🗄️ Upstash Vector for Hybrid (dense + sparse) search
🗃️ Supabase for raw data storage and extracted facts
📝 Mem0-style atomic fact extraction and consolidation
🧠 Voyage AI for high-fidelity embeddings
🗄️ Upstash Vector for Hybrid (dense + sparse) search
🗃️ Supabase for raw data storage and extracted facts
📝 Mem0-style atomic fact extraction and consolidation
All vector DBs claim "long-term memory," but how long is long? Zep, Mem0, Supermemory... mostly hype. OpenMemory is the only *open-source* option: self-hosted, local-first.
github.com/CaviraOSS/OpenMemory #AIagents #OpenSource #AI
github.com/CaviraOSS/OpenMemory #AIagents #OpenSource #AI
December 4, 2025 at 2:06 PM
All vector DBs claim "long-term memory," but how long is long? Zep, Mem0, Supermemory... mostly hype. OpenMemory is the only *open-source* option: self-hosted, local-first.
github.com/CaviraOSS/OpenMemory #AIagents #OpenSource #AI
github.com/CaviraOSS/OpenMemory #AIagents #OpenSource #AI
Ditch cloud memory APIs! OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory with our tool. 6-10x cheaper. github.com/CaviraOSS/OpenMemory #DevTools #MachineLearning #ClaudeAI
December 3, 2025 at 6:06 AM
Ditch cloud memory APIs! OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory with our tool. 6-10x cheaper. github.com/CaviraOSS/OpenMemory #DevTools #MachineLearning #ClaudeAI
Want unlimited AI‑assisted coding in your terminal? 🎉 Droid by Factory just dropped a free 1‑month Pro plan—full access to its CLI, MCP servers, BrightData, Mem0 & Hugging Face integrations. Grab it before it expires! #DroidByFactory #AIcoding #ProPlan
🔗 aidailypost.com/news/droid-b...
🔗 aidailypost.com/news/droid-b...
December 3, 2025 at 1:12 AM
Want unlimited AI‑assisted coding in your terminal? 🎉 Droid by Factory just dropped a free 1‑month Pro plan—full access to its CLI, MCP servers, BrightData, Mem0 & Hugging Face integrations. Grab it before it expires! #DroidByFactory #AIcoding #ProPlan
🔗 aidailypost.com/news/droid-b...
🔗 aidailypost.com/news/droid-b...
Ditch cloud memory APIs! OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory. Try the migration tool! github.com/CaviraOSS/OpenMemory #AI #GeminiAI #MachineLearning
December 2, 2025 at 6:12 PM
Ditch cloud memory APIs! OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory. Try the migration tool! github.com/CaviraOSS/OpenMemory #AI #GeminiAI #MachineLearning
AIの記憶を拡張！ Mem0 x Ollama x Open WebUIで、会話が劇的に変わる！ 構築から活用まで徹底解説 – シャトルのブログ
www.shooting-bios.net
December 2, 2025 at 2:03 PM
Tired of cloud memory costs?
OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory easily! Try the CLI migration tool now. github.com/CaviraOSS/OpenMemory #AIagents #DevTools #GeminiAI
OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory easily! Try the CLI migration tool now. github.com/CaviraOSS/OpenMemory #AIagents #DevTools #GeminiAI
December 2, 2025 at 6:07 AM
Tired of cloud memory costs?
OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory easily! Try the CLI migration tool now. github.com/CaviraOSS/OpenMemory #AIagents #DevTools #GeminiAI
OpenMemory is long-term memory for AI agents — self-hosted, local-first, open-source. Migrate from Zep, Mem0, Supermemory easily! Try the CLI migration tool now. github.com/CaviraOSS/OpenMemory #AIagents #DevTools #GeminiAI