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AI has terrible memory Introducing Micro, an agent that remembers more than Claude, Codex & OpenClaw Leave a comment (eg "memory") & I'll send 30 days for free to try it

brett goldstein

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845,934 views • 1 month ago •via X (Twitter)

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We are killing OpenClaw. Introducing OpenHuman, a self-learning AI with memory that gets better the more you use it. Comment "Openhuman" and I'll send the download link 👇

We are killing OpenClaw. Introducing OpenHuman, a self-learning AI with memory that gets better the more you use it. Comment "Openhuman" and I'll send the download link 👇

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Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. one person + 10 agents with memory = a team that runs 24/7, remembers every customer improves itself. worth than $500 vibe-coding course.

Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. one person + 10 agents with memory = a team that runs 24/7, remembers every customer improves itself. worth than $500 vibe-coding course.

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Introducing the OpenMemory Chrome Extension! 🎉 Shared memory you can carry across ChatGPT, Claude, Perplexity, Grok, Gemini & more. Think universal context, synced across every AI assistant you use. It's free and opensource. Try it Now!

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Taranjeet

184,910 views • 1 year ago

Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. worth than $500 vibe-coding course. Bookmark & replace one movie today with this course, then read the complete article below.

Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. worth than $500 vibe-coding course. Bookmark & replace one movie today with this course, then read the complete article below.

Khairallah AL-Awady

173,477 views • 1 month ago

Autonomous AI agents can’t afford a memory problem. After OpenClaw, insane numbers of autonomous agents are coming online, but all of them have a memory layer that's breaking. I have been playing around with SureThing these days. It is an autonomous AI agent designed with a native memory layer. → it learns your patterns → integrates with 1000+ apps → fully autonomous They actually benchmarked memory depth. SureThing: 84.8, ChatGPT: 40, OpenClaw: 60. The gap speaks for itself. SureThing is invitation-only. The crazy part is that you have to talk to SureThing agent itself to get the invite code. The onboarding is the product demo. You feel the memory and judgment before you even have an account. Try it here: Partnered with SureThing for this post. Thanks to the team for the support.

Autonomous AI agents can’t afford a memory problem. After OpenClaw, insane numbers of autonomous agents are coming online, but all of them have a memory layer that's breaking. I have been playing around with SureThing these days. It is an autonomous AI agent designed with a native memory layer. → it learns your patterns → integrates with 1000+ apps → fully autonomous They actually benchmarked memory depth. SureThing: 84.8, ChatGPT: 40, OpenClaw: 60. The gap speaks for itself. SureThing is invitation-only. The crazy part is that you have to talk to SureThing agent itself to get the invite code. The onboarding is the product demo. You feel the memory and judgment before you even have an account. Try it here: Partnered with SureThing for this post. Thanks to the team for the support.

Pratham

80,634 views • 4 months ago

This AI vid cost me $6 to make Got 1M Views in 7 days Comment "AI" + Follow & i'll send you a free Guide on how I did it

This AI vid cost me $6 to make Got 1M Views in 7 days Comment "AI" + Follow & i'll send you a free Guide on how I did it

Aneeque Asim

49,445 views • 4 months ago

OpenClaw's memory out of the box sucks With this simple Obsidian system, it's actually awesome In this video I go over using Obsidian as a memory layer for your AI agent, making it SO much more smarter than it is now If you use OpenClaw or Hermes, you need to watch this:

OpenClaw's memory out of the box sucks With this simple Obsidian system, it's actually awesome In this video I go over using Obsidian as a memory layer for your AI agent, making it SO much more smarter than it is now If you use OpenClaw or Hermes, you need to watch this:

Alex Finn

89,538 views • 3 months ago

New: AI agents can create free Redis databases ◆ Free & no sign-up, takes 2 seconds ◆ Works with any agent (Claude, Codex, OpenCode) ◆ Claim it later if you want to keep it Claude Code demo 👇

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I just built an AI agent in under 10 minutes using Claude Cowork. It knows my business. It connects to my tools. It has memory. I'm packaging the full step-by-step process into something. More soon.

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Corey Ganim

227,220 views • 3 months ago

introducing Momo: your entire company's context auto indexed and loaded to your ai agent. > 1 minute deployment for non-devs > auto evolving memory this is not a openclaw wrapper btw lol

introducing Momo: your entire company's context auto indexed and loaded to your ai agent. > 1 minute deployment for non-devs > auto evolving memory this is not a openclaw wrapper btw lol

Cailyn Y.

33,356 views • 5 months ago

Memory is what makes us human. It's also what makes AI truly intelligent. mem0 has raised $24M to build the universal memory layer for AI. Thousands of teams in production. 14M downloads. 41K GitHub stars. Intelligence needs memory & we're building it for everyone. More👇

Memory is what makes us human. It's also what makes AI truly intelligent. mem0 has raised $24M to build the universal memory layer for AI. Thousands of teams in production. 14M downloads. 41K GitHub stars. Intelligence needs memory & we're building it for everyone. More👇

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529,419 views • 8 months ago

Introducing MemSync. A unified memory layer that lets your context travel with you. No more explaining who you are. No more lost prompts. No vendor lock-in. First 500 people to like, RT, and comment "MemSync" will receive 30 days Pro free. (Link below)

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MemSync

12,539 views • 11 months ago

Anthropic's Claude team just showed how to give your AI agents real memory in under 18 minutes. Free. From the people who built it. You've been building agents that forget everything between sessions. This fixes that tonight. One person + 10 agents with memory + dreaming = a team that runs 24/7, learns from every task, and improves itself overnight. Worth more than any $500 AI agent course. Bookmark it. Follow Himanshu Kumar for more high-signal content that actually moves your AI engineering career forward.

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Himanshu Kumar

11,128 views • 2 months ago

stop stressing with Claude Code and OpenClaw for DIY trading bot setups introducing Sides Agent — a pre-configured autonomous AI agent for Polymarket. lives in your Telegram. no terminal, no MCP wiring describe your strategy in plain english → it runs 24/7 in your budget cap ◢ Polymarket CLOB, batch trades, one-tap confirm ◢ EV, Kelly sizing, basket arb, X sentiment via Grok ◢ tick memory, auto-pause on 3 failures, budget reservation built it for myself. now it's yours first 500 activations are FREE comment "agent" + RT + follow Sides.Trade – Polymarket AI Bot

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arty.hl

16,851 views • 1 month ago

Memory for OpenClaw is now Native! Our first OpenClaw Memory Skill was a massive success: 30k+ downloads in a week and 500k+ organic impressions overnight for launch post. But we knew memory needed to be native. On March 21, OpenClaw merged PR #50848, allowing us to go beyond the skill layer and integrate directly into the agent’s context assembly flow. We try to make OpenClaw a truly 24/7 employee capable of complex workflows. The technical setup isn’t the hardest part but the real challenge is giving it a "brain" that remembers exact project details, past decisions, and team changes over time. The Native Memory Plugin is now live on NPM & ClawHub. Here is what it brings to your OpenClaw agents: 👉 Native Integration: Automatically manages a Three-Layer Memory architecture (Context Tree, Workspace Memory, Daily Memory). 👉 Git-like Stateful Memory: Organizes memory into a semantic hierarchy of human-readable, diffable Markdown files. You always get updated knowledge and can actually see and fix what your agent learns. 👉 Top Market Accuracy: Achieves an industry-leading 92.2% retrieval accuracy (LoCoMo & LongMemEval benchmarks), maintaining 90% accuracy even with cheap, lightweight models. 👉 Local-first & Portable: Local-by-default, fully portable for multi-agent teams. 👉 Super Easy Setup

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andy nguyen

169,136 views • 3 months ago

How to build an AI SEO Loop with Claude Code. I just launched a Free course on how to setup Claude Code, Hermes, Codex or any agent to become your Chief SEO that gets you customers on autopilot. Comment "Loop" and I'll send an access in your DMs. You'll learn: - How to install the SEO Skill. - Audit and Fix your website through Google Search Console. - Find keywords that convert. - Publish content automatically. - Track your positions on Google and your AI visibility. - Get recommended by AI. - and more bonuses.

How to build an AI SEO Loop with Claude Code. I just launched a Free course on how to setup Claude Code, Hermes, Codex or any agent to become your Chief SEO that gets you customers on autopilot. Comment "Loop" and I'll send an access in your DMs. You'll learn: - How to install the SEO Skill. - Audit and Fix your website through Google Search Console. - Find keywords that convert. - Publish content automatically. - Track your positions on Google and your AI visibility. - Get recommended by AI. - and more bonuses.

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Arindam Majumder 𝕏

12,786 views • 9 months ago

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Movez

12,282 views • 2 months ago

New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

New course: Agent Memory: Building Memory-Aware Agents, built in partnership with Oracle and taught by Richmond Alake and Nacho Martínez. Many agents work well within a single session but their memory resets once the session ends. Consider a research agent working on dozens of papers across multiple days: without memory, it has no way to store and retrieve what it learned across sessions. This short course teaches you to build a memory system that enables agents to persist memory and thereby learn across sessions. You'll design a Memory Manager that handles different memory types, implement semantic tool retrieval that scales without bloating the context, and build write-back pipelines that let your agent autonomously update and refine what it knows over time. Skills you'll gain: - Build persistent memory stores for different agent memory types - Implement a Memory Manager that orchestrates how your agent reads, writes, and retrieves memory - Treat tools as procedural memory and retrieve only relevant ones at inference time using semantic search Join and learn to build agents that remember and improve over time!

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158,947 views • 3 months ago

Give Claude Code, Codex, OpenClaw, Cline access to the entire web from your terminal. Introducing TinyFish CLI + Skills. 15+ agent workflows ready to use. CLI runs browser automations from bash for max token efficiency. Skills tell agents how to use that CLI. 500 free steps.

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TinyFish

182,955 views • 3 months ago