One shared memory for every agent in a project, over MCP: ✅ Fully local — Ollama + Qdrant + Mem0 ✅ Zero API keys ✅ Configs auto-generated for 5 agents ✅ Apache 2.0 https://github.com/sanprat/agent-memory

From API Dependency to Local Inference: Why Developers Are Betting on On-Device LLMs in 2026

Originally published on tamiz.pro . The era of treating Large Language Models as opaque SaaS endpoints is drawing to a close.

2h ago ·dev.to

OpenAI's Hugging Face incident report says AI agents used exploits to gain full admin access to OpenAI's own research cluster supporting its VM environments (Dwarkesh Patel/Dwarkesh Podcast)

The whole OpenAI/Hugging Face story in plain English — Many thanks especially to Oak Hu, who paired with me for most of the writing …

2h ago ·dwarkesh.com

Three layers of automated fact-checking for an LLM newsroom (and the bugs that forced each one)

Our site, presentofai.com , publishes AI industry analysis daily with no human in the writing loop: agents ingest news and company filings into an event timeline, score them, and synthesize digests…

• First layer, article-level critic checks drafts against source events for errors
• Second layer, search-verified claim checking extracts and verifies crucial claims
• Third layer, data auditing re-reads timelines for recurring failure classes

1h ago ·dev.to

The failures that don't fail loudly

I spent a week building an agent that upgrades dependencies and repairs what the upgrade breaks. Dependabot opens the PR and walks away; this one stays until the tests are green.

• Scanner failed to detect vulnerabilities in lockfile
• Agent reported 124 vulnerable packages instead of 3
• Multiple scanner under-reporting vulnerabilities

1h ago ·dev.to