open-source

Between late August and mid-October 2026, LibreOffice marketed the absence of AI, QGIS and System76 banned AI-written contributions, Debian voted the other way, and users built tools to strip Apple Intelligence out, all arguing over one scarce input: human attention.

On July 17, Xi Jinping used his first WAIC keynote to make open-source AI a matter of Chinese foreign policy, a global public good pitched to the Global South against Washington's gate, and the propaganda reflex misses that the models are real and shipped the same fortnight.

On June 10 Supermemory shipped its graph engine as a local binary anyone can run for free, and reading the repo, the docs, and the benchmark fight shows the giveaway is a distribution play, not a surrender.

On May 15, X pushed 18,263 lines of Rust and Python to its public algorithm repo, a full rewrite of the 2023 Scala stack around a Grok-based transformer, but the code does not build and the engagement weights are still missing.

OpenClaw has 138 CVEs, a 1GB/min memory leak and a supply-chain attack where 80% of audited skills were malicious; Hermes's flagship feature silently deleted user data on launch day; and 25+ SaaS providers now live off that pain.

Fifteen open-source deep-research agents reduce to four architecture archetypes, two of which are dead ends, and this field guide sorts the agents by archetype so the right one is easier to pick.