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OPENCLAW JUST GOT A MEMORY UPGRADE THAT STOPS IT FROM LOSING CONTEXT.

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0xMarioNawfal

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54,944 次观看 • 6 个月前 •via X (Twitter)

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OpenClaw just got a free upgrade ⚡ With Nvidia Nemotron 3 Super now on Ollama, you can run OpenClaw completely free. Just run a simple command, connect it, and you’re good to go. No cost. No limits. Just powerful AI agents. 🚀
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OpenClaw just got a free upgrade ⚡ With Nvidia Nemotron 3 Super now on Ollama, you can run OpenClaw completely free. Just run a simple command, connect it, and you’re good to go. No cost. No limits. Just powerful AI agents. 🚀

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We gave OpenClaw🦞 a phone number. Call 910-MOLTBOT. you'll get your own OpenClaw instance — personal number, memory, tools, the whole thing. no signup. no app. just a phone call. it just does things. it's an experiment from Deepgram Labs. free to try. Open Source:
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OpenClaw just went nuclear. No more being locked into one AI model. No more losing context in massive files. Here’s the OpenClaw play 👇 → 1M token context for infinite memory → Model agnostic (Gemini, Mistral, Sonnet) → Parallel task running for 10x speed → Native Apple Watch & mobile ecosystem → Enterprise-grade security hardening The AI operating system has officially arrived. Adapt now or get left behind. Want the full guide? DM me.

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HERMES AGENT JUST GOT A MASSIVE FREE UPGRADE AND ALMOST NOBODY IS TALKING ABOUT IT YET. 1M token context window, runs completely free on OpenRouter and can debug itself while you use it.

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Mom’s late, but the school guard’s got moves that make it all okay. Pickup time just got an upgrade!
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Mom’s late, but the school guard’s got moves that make it all okay. Pickup time just got an upgrade!

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MemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage. - Multiple agents read/write the same memory — no manual context handoff - 72% lower token costs (15.6M → 4.4M on LOCOMO dataset) - Cross-session and long-term memory that actually works Sponsored

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Built a lightweight mobile SDK that lets our QA agent know exactly what's happening under the hood. It tracks: - CPU/memory performance - Network requests & failures - Screen transitions - Tap gestures - Full distributed traces Give an agent this level of context and it stops guessing why a new feature isn't working. It just reads the trace and fixes the code.

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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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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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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
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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

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Quest just got a massive upgrade

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OpenClaw is fun, but it runs on your machine and needs configuration. Lindy just launched a personal assistant that manages your inbox, preps you for meetings, and handles follow-ups. → Full context from email & calendar → Works in iMessage, Slack, browser → No complex setup

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15,939 次观看 • 7 个月前

Most people use Claude Code like a chatbot. That is the mistake. The real power is not in better prompts. It is in controlling the session. /init gives the project memory. /memory keeps the rules alive. /clear removes old context. /compact saves the important parts. /context shows where the tokens go. /rewind fixes bad turns. /plan stops blind edits. /model matches the brain to the task. Claude Code gets 10x better when you stop letting the conversation run itself. Memory. Context. Boundaries. Rollback. Planning. That is the system. Stop asking Claude Code to “just do it”. Teach it what to remember, what to forget, and when to stop. Bookmark this before your next session turns into 40 messages of context debt.
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Most people use Claude Code like a chatbot. That is the mistake. The real power is not in better prompts. It is in controlling the session. /init gives the project memory. /memory keeps the rules alive. /clear removes old context. /compact saves the important parts. /context shows where the tokens go. /rewind fixes bad turns. /plan stops blind edits. /model matches the brain to the task. Claude Code gets 10x better when you stop letting the conversation run itself. Memory. Context. Boundaries. Rollback. Planning. That is the system. Stop asking Claude Code to “just do it”. Teach it what to remember, what to forget, and when to stop. Bookmark this before your next session turns into 40 messages of context debt.

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So @TcK10_ and LFT OXY just got the biggest upgrade from @NVIDIAGeforce...
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So @TcK10_ and LFT OXY just got the biggest upgrade from @NVIDIAGeforce...

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Laser tag just got a massive upgrade. 🔥
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Laser tag just got a massive upgrade. 🔥

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Google just released a 1-hour course on “Context Engineering” for AI agents from scratch: • 00:00 - Introduction to “Context Engineering” • 03:02 - Context Engineering vs “prompting” • 16:18 - Build a context brain for your agent • 22:10 - Building agent context (tools, skills) • 29:06 - Agentic memory bank from scratch This 1-hour watch could replace a $500 course on agentic design. Watch it today, then read the full guide on Context Engineering in the article below.

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