Where we work, and how to start.
Hermes Labs is an AI reliability engineering studio. There is no fixed menu and no priced package. You tell us what is breaking on a short call, and we scope the engagement to the problem: find the silent failure, then engineer it out.
Agent reliability
Harness, routing, and orchestration, where agents combine tools, thinking, and long context. Our fixes are merged in LangChain and Microsoft Semantic Kernel.
Memory and context integrity
Retrieval, summarization, and memory that preserve meaning under compression, so a dropped qualifier or a paraphrase does not quietly change the answer.
Evaluation and auditability
Evidence-first scoring, static config linting, and offline-verifiable records of what a system did and why.
Runtime controls
Session-submit and pre-submit hooks, deterministic routing enforcement, and skill and configuration auditing (lintlang) for agents with tool, process, and network access.
Answer-engine optimization
Making technical work legible and citable to LLMs and answer engines, so the systems people now ask about your work return the right answer.
A structural review of the system, not the model.
We read your system prompts, tool descriptions, scaffolds, and configs against the failure-mode taxonomy from our research, and run controlled adversarial probes. You get a written record of what the system actually does under pressure, with prioritized findings and recommended fixes.
Input-side and execution-side defense, in your stack.
We design or integrate runtime defenses around your existing stack: prompt-injection sensing at the boundary, policy enforcement on process and network calls, anti-fabrication guards on tool output, and offline-verifiable evidence of what the system did and why. Works with LangChain, Microsoft Semantic Kernel, AutoGen, LlamaIndex, and custom frameworks, in Python, JS, and TS.
Tell us the system and the symptom. We will tell you what is likely breaking and whether we are the right people to fix it. No pitch deck, no obligation.
Book a 30-min call →