LobeHub Deploys Agents Across Its R&D Workflow, Hitting 70% Pass Rate on 30 Tasks

LobeHub has embedded its own AI collaboration platform deep into its R&D workflow, with agents handling task decomposition, assignment, coding and bug triage as standing team members. On FrontierHarness's 30 software-engineering tasks, its optimized Agent Harness paired with Kimi K3 completed 21 for a 70% pass rate at a median cost of $1.68 per successful task, which the team says beats Codex and Claude Code. The project has roughly 84.4k GitHub stars and is open-sourced.