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Superagent

Security workers and guardrails for code, agents and infrastructure.

Superagent, a YC W24 company based in San Francisco, builds what it calls an autonomous security factory. Its products include PR Security, which checks code, contributor, workflow and supply-chain risk before merge; scheduled dependency updates; Red Team adversarial testing; Context Guardrails, which score what agents consume before they trust it; and Runtime Guardrails, which monitor or block risky agent actions where they run. Findings become reviewed remediation PRs, and it can hand work to coding agents such as Cursor and Devin. Its open-source repo (MIT) targets prompt injection, data leaks and harmful outputs.

Red-teaming and robustness for AI agents.

Haize Labs stress-tests agents with automated adversarial attacks — prompt injection, tool misuse, unsafe actions — and ships an SDK for continuous safety evaluation in CI.

3 pros · 3 cons

Automated evaluation and guardrails for LLM systems.

Patronus AI scores outputs against policy and business criteria in CI and production, catching regressions before users do — 'unit tests for AI'.

4 pros · 3 cons

Human approval and context engineering for agents.

HumanLayer builds tooling for human-in-the-loop agent workflows and authored '12-Factor Agents' — the widely-cited methodology for building production harnesses. Now focused on agentic code review tooling.

3 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintains · 1

Sources

  1. Superagent homepage
  2. Y Combinator profile
  3. GitHub: superagent-ai/superagent