BetterClaw

BetterClaw is a managed no-code AI agent platform designed for founders, operations teams, support teams, recruiters, agencies, and other businesses that want autonomous AI agents without maintaining the underlying infrastructure. Users can create an agent visually or describe the job they want the agent to perform. BetterClaw provides templates for roles such as General Assistant, Research Analyst, Content Writer, Software Developer, Marketing Strategist, and Finance Analyst, while also allowing agents to be created from scratch. Agents can connect to business applications and communication channels including Gmail, Slack, Discord, Telegram, and other services. The platform supports OAuth-based connections and custom webhooks, allowing a single agent to work across multiple channels and connected tools. BetterClaw includes recurring scheduling and heartbeat functionality. Agents can wake up at scheduled intervals, perform assigned work, and stop when the task is complete instead of remaining continuously active. This is designed to reduce unnecessary AI and compute costs. The platform includes a visual task system where users can see queued, running, successful, and failed agent tasks. Failed tasks can be re-queued, and completed workflows can be turned into recurring tasks. BetterClaw also provides a skills marketplace. Users can install OpenClaw-compatible skills as well as curated skills that have gone through BetterClaw's security review process. The platform uses a trust-level system in which agents can progress from Intern to Specialist to Lead. Sensitive actions can require human approval, and users can immediately pause an agent through a kill switch. A Bring Your Own Key (BYOK) model lets users connect their own LLM provider credentials. BetterClaw states that it does not add a markup to the underlying model inference costs; users pay their selected AI provider directly. BetterClaw also supports generated file deliverables, including PDF, DOCX, XLSX/CSV, images, audio, video, and Markdown files, allowing agents to return completed work rather than only conversational responses.