Prashant Malik

Anyone can count the seeds in a melon but it takes vision to count the melons in a seed

@gulpanag which movie

@DENISE_RICHARDS watching you in kambakkht ishq right now , pleasantly surprised

cortexdb.ai/blog/run-corte… Run CortexDB on Your Own Hardware

CortexDB v0.5.1 — AI memory you can run yourself.

1/8 Most AI agents don’t really remember you. They can search docs. They can call tools. They can keep a short chat history. But the lived experience of working with you? What happened, what changed, what mattered? Mostly gone. CortexDB V1 is live to solve that.

@NousResearch cortexdb.ai/blog/hermes-me… How to Add Memory to Your Hermes Agent

Hermes Agent v0.7.0 is out now. Our headline update: Memory is now an extensible plugin system. Swap in any backend, or build your own. Built-in memory works out of the box; six third-party providers are ready to go. Pick one with 'hermes memory setup'. Full changelog below ↓

cortexdb.ai/blog/hermes-me… How to Add Memory to Your Hermes Agent

@openclaw Memory for openclaw cortexdb.ai

OpenClaw 2026.4.7 🦞 🔮 openclaw infer 🎬 music + video editing 💾 session branch/restore 🔗 webhook-driven TaskFlows 🤖 Arcee, Gemma 4, Ollama vision 🧠 memory-wiki: persistent knowledge, not just vibes Because “trust me bro” is not a knowledge system. github.com/openclaw/openc…

Well great job on the benchmarks but that's just a small part of the story and can be achieved by iterations over claude. The real system is the one that will not only beat benchmarks but scale to enterprise scale with multimodal capabilities and infinite data , that's where cortexdb.ai comes in.

My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark - beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace - a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word - family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type - not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens - 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. github.com/milla-jovovich…

cortexdb.ai/blog/building-… Building an AI Companion with Perfect Memory

The thing nobody tells you about building infra: you don't pick the problem, the problem picks you.

@cz_binance Would love to meet , pls lemme know how.

Who's in Dubai now?

frontmatter.pdf (application/pdf Object) http://ff.im/kych0

SNIA - Cloud and Emerging Technologies http://ff.im/k9rkK

Cornell Info 2040 - Networks - Searching Peer-to-Peer Networks http://bit.ly/9pz2VY

Beta Thoughts http://ff.im/aJDXZ