The top of today’s list is really one argument: agents get cheaper when you stop asking a large model to do everything. browser-use/jev-ultrafast renders a page as a numbered table of controls so TypeSafe’s Jev picks the operation and target element in one request, and a small LLM writes text only when a field needs filling. NandhaKishorM/laya pushes the same idea the furthest: instead of generating an answer it returns a typed decision, a choice, a score or a yes/no flag, in a single 33-millisecond forward pass over more than one hundred languages, so a triage pipeline has nothing to parse and nothing to hallucinate.
Two entries hand agents a working environment and then check their homework. trycua/cua provides open-source computers for agents: isolated cloud desktops you spin up for one task and tear down afterwards, lightweight macOS and Linux virtual machines on Apple Silicon, a driver that operates apps across operating systems, and a benchmark suite that scores agents on simulated tasks. cloudflare/security-audit-skill goes the other direction, mapping a codebase’s trust boundaries first and giving every candidate vulnerability to a fresh verifier that tries to disprove it before anything reaches the report.
For the build-and-ship side of the work, robbietilton/Compositor is a free, open-source macOS image editor that mirrors the Photoshop compositing workflow with layers, masks and adjustment layers. deepseek-ai/deepseek-harness explores how an agent’s capabilities decompose into replaceable plugins, alibaba/open-code-review puts AI comments on the exact lines that need attention, tamaratran/fast-jev-compaction keeps long sessions coherent by scoring each tool call keep-or-drop, affaan-m/ECC adds planning, tests and memory routines, and hypit-ai/hypit rebuilds a reference video into a word-timed production workflow.