Run a team of Claws with 150MB RAM each, 70% less memory (zread.ai)

HiClaw has announced significant advancements with the release of version 1.0.4, introducing CoPaw, a lightweight agent runtime that dramatically reduces memory usage from approximately 500MB to just 150MB in Docker mode—an 80% reduction. This efficiency not only enhances production deployments but also enables a larger number of worker agents to operate on standard hardware, bringing HiClaw closer to its goal of under 100MB per Worker. Additionally, the project is addressing community concerns over excessive token consumption and response times, with ongoing optimizations to the context window and a focus on real-time collaboration features. The evolving project is discussing potential enterprise-level capabilities, including multi-tenancy, Role-Based Access Control (RBAC), and Single Sign-On (SSO) integration, signaling a shift towards stable, production-ready solutions for businesses. This responsiveness to user feedback fosters a community-oriented development approach and positions HiClaw as a serious contender in the realm of multi-agent systems. As it continues to refine its architectural foundations and enhance production readiness, HiClaw’s trajectory suggests it could become a new standard for collaborative AI applications, effectively bridging the gap between hobbyist projects and enterprise needs.