$ cat /blog/README.md
Insights on AI Agents, the future of software,
and the AgentPuter vision.
$ ls -la posts/
Found 20 posts
73% of enterprise AI agent deployments fail — not because the model is bad, but because the tool layer is broken. CLI Anything is the standardized execution layer that gives your agent hands: 130+ pip-installable CLIs, one interface, structured JSON output.
One user spent $254 in two weeks. Federico Viticci hit $3,600 in a month. Someone woke up to a $141 surprise from overnight heartbeats. Six places OpenClaw burns tokens, what 3.7 and 3.8 changed, and how real users cut their bills from hundreds to under $30 — without giving up anything that matters.
OpenClaw's default compaction fires once, summarizes everything, discards the originals. The longer your agent runs, the more it forgets. Version 2026.3.7 opened the context engine to plugins. lossless-claw is the first one — a DAG-based system that stores every message in full and lets agents retrieve exact historical detail on demand.
Not tutorials. Not demos. Four structural patterns extracted from 148 community replies, two Reddit threads, 85+ categorized use cases, and enterprise deployment notes. The morning briefing agent, 10-agent Mission Control, $90→$45/month cost optimization, and more.
135,000 OpenClaw instances were publicly reachable in early February 2026. 12,812 were directly exploitable via RCE. Prompt injection success rate in default configuration: 91%. Here is what happened, why it worked, and the five-layer defense architecture that stops it.
On February 25, Perplexity launched Computer — a cloud AI that orchestrates 19 models, runs sub-agents in parallel, and executes tasks autonomously for $200/month. Here's what OpenClaw users already have, what they don't, and what this means for the agent platform race.
maxSpawnDepth defaults to 1, not infinite. SOUL.md is invisible to sub-agents. cleanup keeps files forever unless you change it. 30 production-tested tips to close the gap between 'works' and 'well-configured'.
An Anthropic researcher spent $20,000 letting 16 parallel Claude agents write a C compiler. OpenClaw's Sub-Agent system lets you run the same architecture for your morning briefing — for about $0.03. Here's how.
Why SOUL.md, IDENTITY.md, and USER.md are the most important files in your OpenClaw setup — and how to write them so your agent stops sounding like a generic chatbot.
Everyone assumes ClawHub is the biggest OpenClaw skills platform. We pulled the SimilarWeb data. The actual leader has 17× more traffic — and its largest user base is in China.
Gemini 3.1 Pro scored 69.2% on MCP Atlas — the benchmark built to test exactly what OpenClaw does. Claude Opus 4.6 is still the official recommendation. We break down five benchmarks, five models, and which configuration wins for your actual workflow.
OpenClaw crossed 207,000 GitHub stars this week. Here's how to actually set it up — from bare metal to one-click cloud — without the gaps most tutorials leave in.
207K GitHub stars means everyone wants to try it. But the deployment options have multiplied faster than the documentation. We spent two weeks running every major option — self-hosted to one-click cloud — so you know what you're getting before you commit.
Peter Steinberger chose a job over a billion-dollar exit. OpenClaw becomes a foundation. The Agent platform war enters a new phase — and the infrastructure race is on.
100K GitHub stars, 2M weekly visitors, $0 revenue. The AI Agent gold rush has a business model problem — and the answer will define who wins the platform race.
180K GitHub Stars, three name changes, a $16M crypto scam, and a Mac mini shortage — how an open-source 'digital life' rewrote the AI Agent narrative in weeks.
Enterprise AI saves analysts 1.5 hours a day — yet the best Agent still fails 53% of multi-app office tasks. The gap between single-app time savings and end-to-end automation is where the real opportunity lives.
170K+ open-source Skills, the missing Gateway layer, and why the Agent platform is following the Windows playbook.
The Brain-Body-Soul architecture, 1,100 exposed ports, and what AI Agents actually need from infrastructure.
AI Agents are remarkably capable — but they have no home, no persistent workspace, no computer of their own. AgentPuter changes that.