Find Best AI Agent in the Top AI Agent Marketplace

Notion turns its workspace into an agent hub

What changed: Notion launched a Developer Platform with Workers, an External Agent API, and database sync so teams can deploy custom code, connect external agents, and run multi-step automated workflows inside Notion; the product announcement was reported May 13, 2026.

Why it matters: Teams that already use Notion for knowledge work can now host lightweight business logic and link internal agents or partner coding agents to live data without routing everything through separate automation platforms, reducing integration friction and faster pilot-to-production cycles.

Try/watch: If you run knowledge or ops workflows in Notion, test a Worker that syncs a single external datasource (CRM or ticketing) and attach an External Agent to automate a routine task; watch for permission boundaries and billing for agent-run actions.

Dotmatics launches Luma Agent — an “AI co‑scientist” for regulated R&D

What changed: Dotmatics announced Luma Agent (May 13, 2026), an agentic capability embedded in its Luma Scientific Intelligence platform that plans and executes multi-step scientific tasks on structured, ontology-backed lab data with audit trails and human approval gates.

Why it matters: For regulated life‑sciences teams, an agent that operates on structured experimental data and produces traceable, reproducible actions reduces governance friction and shortens the time from insight to experiment by replacing manual query-and-translate steps.

Try/watch: Labs should pilot Luma Agent on a low‑risk workflow (e.g., data cleanup, report generation) to validate lineage and human-approval hooks before moving to any agents that affect experiments or production data.

Broadridge puts agentic AI into production for financial operations

What changed: Broadridge announced production-ready agentic capabilities (May 13, 2026) that chain data, context, and workflows to automate exception resolution across post‑trade and client‑services, offered either as managed services or a standalone platform.

Why it matters: Institutional buyers should take note: Broadridge’s approach (ontology-backed data normalization plus supervised agent workflows) is an example of how vendors are packaging agentic automation to meet regulatory and audit requirements in finance.

Try/watch: If you’re in financial ops, request evidence of audit logs, human-in-the-loop controls, and a migration plan from pilot to SLA-backed managed deployment; monitor vendor claims about immediate cost savings versus measured outcomes.

Sweet Security offers continuous, agentic red‑teaming for runtime environments

What changed: Sweet Security published details (May 13, 2026) of Sweet Attack, a continuous agentic red‑teaming product that indexes runtime topology and runs autonomous attack-chain discovery tailored to each client environment.

Why it matters: Security teams can no longer rely only on periodic human red teams; runtime, agent‑driven testing can surface exploitable paths faster but also raises questions about safe testing, scope definitions, and remediation SLAs.

Try/watch: Security leads should evaluate agentic red‑teaming in a staged program with tightly defined blast radius and automated rollback/mitigation playbooks, and track how vendor tools reduce mean time to detect versus false positives.