OpenClaw got me busy π This is one of my top priorities. Thanks for the reminder
@akshay_pachaar
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Paged Attention: Kernel Level Overhead vs. System-Wide Throughput Gain
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Good writeup. Here's an interesting fact about paged attention: It isn't free at the kernel level. As expected, the non-contiguous memory reads add roughly 20-26% overhead per attention kernel call. But the system-wide gain (2-4x throughput) overshadows that because you can
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Run Claude Code with local LLMs for free
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Run Claude Code using local LLMs for FREE. No API costs. No data leaving your machine. Here's how it works: Claude Code lets you swap its backend via a single env variable. Point `ANTHROPIC_BASE_URL` to a local llama.cpp server, and it'll route all requests to whatever model
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KV Caching Visually Explained: How and Why It Works
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KV caching, visually explained: (how and why it works)
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Cognee Knowledge Graph Enhances AI Reasoning with OpenClaw Memory Layer
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I wrote about pairing Cognee with OpenClaw's memory layer. Native memory stores facts but can't reason over relationships. Cognee adds a knowledge graph that makes those connections explicit. Same Markdown files, but with structure underneath. Better retrieval = cleaner context
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Karpathy Open-Sources Autoresearch: An AI Agent for ML Experiments
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Karpathy just open-sourced autoresearch. It runs 100 ML experiments overnight on a single GPU. The agent writes the code, runs the training, iterates and keeps what works. Your entire job is maintaining a single Markdown file, one that describes the research strategy. What to
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AI Context Management: Filesystems and Agent Frameworks
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Files are all you need! This research paper says the best way to manage AI context is to treat everything like a file system and OpenClaw has already proven it. But most agent frameworks still haven't figured this out. Memory is bolted on as an afterthought. Tools live in a
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Open-Source Drag-and-Drop UI for AI Agent Workflows Launched
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Drag-and-drop UI to build AI agent workflows!
— Akshay π (@akshay_pachaar) 7 mars 2026
Sim is a 100% open-source alternative to n8n (Apache 2.0 licence)
Get started here: https://t.co/w5xr9KBkmW
GitHub repo: https://t.co/prWxUcfJfL https://t.co/1pV6eqdjJg pic.twitter.com/mgKUtrmAo4Drag-and-drop UI to build AI agent workflows! Sim is a 100% open-source alternative to n8n (Apache 2.0 licence) Get started here: http://
sim.ai
GitHub repo: http://
github.com/simstudioai/sim -

Minimax 2.5 AI Model Performance and OpenClaw Usage
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Minimax 2.5 is a really good model. I have been using it with OpenClaw: