1.13.0a7
What's Changed Features Add A2UI extension with v0.8/v0.9 support, schemas, and docs Bug Fixes Fix multimodal vision prefixes by adding GPT-5 and o-series Documentation Update changelog and version for v1.13.0a6 Contributors @alex-clawd , @greysonlalonde , @joaomdmoura
What's Changed
Features
- Add A2UI extension with v0.8/v0.9 support, schemas, and docs
Bug Fixes
- Fix multimodal vision prefixes by adding GPT-5 and o-series
Documentation
- Update changelog and version for v1.13.0a6
Contributors
@alex-clawd, @greysonlalonde, @joaomdmoura
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
versionupdatefeature
Sharing Two Open-Source Projects for Local AI & Secure LLM Access 🚀
Hey everyone! I’m finally jumping into the dev.to community. To kick things off, I wanted to share two tools I’ve been developing at the University of Jaén that tackle two common headaches in the AI space: running out of VRAM, and keeping your API chats truly private. 🦥 Quansloth: TurboQuant Local AI Server The Problem: Standard LLM inference hits a "Memory Wall" with long documents. As context grows, your GPU runs out of memory (OOM) and crashes. The Solution: Quansloth is a fully private, air-gapped AI server that brings elite KV cache compression to consumer hardware. By bridging a Gradio Python frontend with a highly optimized llama.cpp CUDA backend, it prevents GPU crashes and lets you run massive contexts on a budget. Key Features: 75% VRAM Savings: Based on Google's TurboQuant (ICL

Day 61 of #100DaysOfCode — Python Refresher Part 1
When I started my #100DaysOfCode journey, I began with frontend development using React, then moved into backend development with Node.js and Express. After that, I explored databases to understand how data is stored and managed, followed by building full-stack applications with Next.js. It is now time to start learning Python, not from scratch, but as a refresher to strengthen my fundamentals and expand my backend skillset. Learning Python strengthens my core programming skills and offers a new perspective beyond JavaScript. It aligns with backend development, data handling, and automation, allowing me to build on my existing knowledge and become a more versatile developer. Today, for Day 61, I focused on revisiting the core building blocks of Python. Core Syntax Variables Data Types Vari

Why Standard HTTP Libraries Are Dead for Web Scraping (And How to Fix It)
If you are building a data extraction pipeline in 2026 and your core network request looks like Ruby’s Net::HTTP.get(URI(url)) or Python's requests.get(url) , you are already blocked. The era of bypassing bot detection by rotating datacenter IPs and pasting a fake Mozilla/5.0 User-Agent string is long gone. Modern Web Application Firewalls (WAFs) like Cloudflare, Akamai, and DataDome don’t just read your headers anymore—they interrogate the cryptographic foundation of your connection. Here is a deep dive into why standard HTTP libraries actively sabotage your scraping infrastructure, and how I built a polyglot sidecar architecture to bypass Layer 4–7 fingerprinting entirely. The Fingerprint You Didn’t Know You Had When your code opens a secure connection to a server, long before the first
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases

TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents
TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreSQL. The open source project exposes database data through a standard filesystem interface, allowing developers and AI agents to interact with it using common Unix tools such as ls, cat, find, and grep, rather than via APIs or SDKs. By Renato Losio

Day 61 of #100DaysOfCode — Python Refresher Part 1
When I started my #100DaysOfCode journey, I began with frontend development using React, then moved into backend development with Node.js and Express. After that, I explored databases to understand how data is stored and managed, followed by building full-stack applications with Next.js. It is now time to start learning Python, not from scratch, but as a refresher to strengthen my fundamentals and expand my backend skillset. Learning Python strengthens my core programming skills and offers a new perspective beyond JavaScript. It aligns with backend development, data handling, and automation, allowing me to build on my existing knowledge and become a more versatile developer. Today, for Day 61, I focused on revisiting the core building blocks of Python. Core Syntax Variables Data Types Vari

OpenClaw 2026.3.31: Task Flows, Locked-Down Installs, and the Security Release Your Agent Needed
OpenClaw 2026.3.31 dropped yesterday, and this one's different. Where the last few releases added capabilities — new channels, new models, new tools — this release is about control . Specifically: controlling what your agent installs, what your nodes can access, and how background work is tracked. If you run agents in production, this is the update you've been waiting for. Task Flows: Your Agent's Work Finally Has a Paper Trail This is the headline feature and it's been a long time coming. Background tasks — sub-agents, cron jobs, ACP sessions, CLI background runs — were all tracked separately. Different systems, different lifecycle management, different ways things could silently break. Not anymore. Everything now lives under one SQLite-backed ledger . You can run openclaw flows list , op


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!