Hermes Labs

Hermes Labs operates as an AI reliability engineering studio specializing in identifying and addressing silent failures in AI systems that standard evaluations often overlook. The studio focuses on issues such as disappearing guardrails during conversations, fabricated tool outputs, loss of context integrity through memory compression, and unprovable agent actions. Its work is aimed at enterprise AI teams whose systems require technical audit, runtime control design, and defensible evidence to ensure reliability and accountability.

The studio provides both services and open-source tools to diagnose and mitigate structural failures in AI agents, particularly those involving retrieval, memory, agents, auditability, and language processing layers. Notable open-source releases include agent-gorgon, which blocks fabricated tool outputs, fidelis, which preserves context verbatim instead of paraphrasing, and suy-sideguy, which enforces runtime policy and generates forensic, offline-verifiable evidence of agent actions. Hermes Labs has contributed fixes that are now integrated into frameworks such as LangChain and Microsoft Semantic Kernel, addressing issues like forced-tool-choice crashes and silent system-prompt deletions.

Hermes Labs' approach is grounded in a taxonomy of epistemic failure modes, backed by over 1,400 controlled adversarial evaluations, and documented in peer-reviewed research papers. 0 and MIT licenses, with no telemetry or gated tiers. Contributions extend to 26 merged upstream fixes across AI, machine learning, and web tooling ecosystems.

Delivery includes technical audits, runtime controls, and evidence generation for AI systems, with engagement options such as a free 30-minute consultation for enterprise teams to discuss system failures and potential solutions. Hermes Labs operates globally from San Francisco and offers its open-source tools via its GitHub repository.