Shinkai

Open Shinkai and begin by writing what you want accomplished. For example: “Track competitor announcements, summarize daily, and email a brief at 6pm.” Shinkai turns that into an actionable agent. Choose data sources, attach tool connectors through the Model Context Protocol (MCP), set a schedule, and give the agent a memory space so it can recall past results and preferences. Run a dry test to see each step, tweak instructions or thresholds, then publish the agent for your team to use—no code or YAML needed.

Need payments in the loop? Create a finance helper that can price services, request quotes, and execute on-chain or card payments when conditions are met. Link a wallet, select a provider, add spending limits, and require approvals above a certain amount. The agent can pay for APIs it needs, renew subscriptions, reimburse creators, or tip contractors, while logging every transaction. You define the rules; Shinkai enforces them and records context so future decisions get faster and cheaper.

For growth and trading tasks, assemble a small crew. One agent watches social sentiment and news, another evaluates quality, and a third prepares orders. You set guardrails: keywords, risk caps, allowed venues, and human sign-off policies. Start in simulation to verify behavior, then enable live execution. When a spike occurs, the watcher flags it, the analyst scores it using recent history stored in memory, and the executor drafts the trade or campaign action and requests approval in Slack. more