According to OpenClaw on Twitter, the v2026.3.22 release adds the ClawHub plugin marketplace, new model backends including MiniMax M2.7 and GPT-5.4-mini/nano, per-agent reasoning, side-question handling via /btw, OpenShell with SSH sandboxes, and integrated Exa, Tavily, and Firecrawl search (source: OpenClaw). As reported by the OpenClaw GitHub release notes, the marketplace enables third-party plugins that extend agent tools and workflows, creating a distribution channel for developers and a lower-integration path for enterprises to add domain tools (source: GitHub releases). According to the same release notes, per-agent reasoning allows specialized chains-of-thought per agent profile, improving task decomposition and tool selection, which can reduce inference costs when paired with GPT-5.4-nano for lightweight steps and GPT-5.4-mini for heavier planning (source: GitHub releases). The addition of OpenShell and SSH sandboxes enables secure, auditable command execution for data engineering and RPA-style automations, which enterprises can leverage for reproducible MLOps and ETL jobs with least-privilege isolation (source: GitHub releases). Integrated Exa, Tavily, and Firecrawl search provides multi-engine retrieval and site crawling to strengthen retrieval-augmented generation pipelines and structured browsing for competitive intelligence and compliance use cases (source: GitHub releases). Business impact: According to the OpenClaw announcement, the combined marketplace and per-agent reasoning create a monetizable ecosystem for toolmakers and a modular path for teams to standardize on vetted plugins while optimizing model mix for cost-performance at scale (source: OpenClaw).