I made an agent can self-improving while working
An open-source framework that evaluates and refines your AI agent’s skills, tools, and workflows against real-world tasks. Get your work done at top GEAR.
I made an agent can self-improving while working launched on October 12, 2026 with 5 votes, #722 of 3,296 launches that month and more than 75% of that year's launches.
What it does
Don’t let your work wait. GEAR brings recursive self-improvement (RSI) to your agent’s harness — using task feedback to continually refine skills, tools, and workflows for the work that matters. On these two real tasks, Luna max with a GEAR-tuned harness completes requirements that Astra max with the general-purpose Codex agent misses. Watch the difference side by side. An optimized harness can change what an agent gets done. Explore the results reported in our open experiments. Task pass rate also increased from 27% to 53% . Astra max with Codex scored 84.08% objective completion and 57% task pass rate. Luna’s reported task pass rate increased from 52.87% to 84.26% . These runs compare…from yehuitang0316.github.io
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