Hermes is a personal AI agent: an analyst, an assistant and a task coordinator in one place. Not a chat that just replies with text, but a working assistant that checks, searches, analyzes, writes, runs tools and takes a task all the way to the result.
The pain it solves
A regular chatbot answers and forgets. Real work needs someone to finish the job: gather data, verify facts, prepare a document, schedule a task. Keeping a separate specialist or a dozen tools for each role is slow and expensive.
Who it's for
Founders, managers and specialists who want one reliable AI assistant instead of scattered tools: a personal assistant, a business analyst, a technical specialist and a content helper at once.
How it works
Hermes breaks a task down and plugs in the right role. Analytics: research, comparison, hypothesis checks, plain-language reports. Documents: specs, guides, README files, decks, commercial copy. Tech: reading and fixing code, working with sites, APIs and logs. Marketing: posts, scripts, competitor analysis. Media: image analysis and generation, visual concepts.
Skills and subagents
Skills are ready-made professional abilities for specific jobs; Hermes has 88 of them across 21 areas of work: browser and websites, YouTube and social media, PDFs and spreadsheets, GitHub and code, email, Notion, Google Docs, Airtable, image generation, market research, cron jobs and integrations. Hermes splits a big task between subagents: one searches, another checks code, a third analyzes competitors, a fourth writes copy — and the results merge into one deliverable.
The public skill hermes-skill-imagen-vertex is a Hermes Agent plugin for text-to-image on Vertex AI Imagen 3: it decodes base64, saves the file to a local cache, and returns the media path.
That README lists aspect ratios 16:9, 1:1, 9:16 and 4:3, and says the skill is ready for Nano Banana Pro / Gemini 3 Pro Image as well as Imagen 3.
hermes-skill-veo-vertex generates text-to-video on Veo 3.1, keeps the render in a Google Cloud Storage bucket named by VEO_GCS_BUCKET, and fetches the finished .mp4 from that bucket.
Both READMEs install the skill with hermes skills install on the URL of SKILL.md; scripts/generate.py calls Vertex AI using GOOGLE_APPLICATION_CREDENTIALS and GOOGLE_CLOUD_PROJECT.
Under the hood
An agent platform with model routing via LiteLLM on Google Vertex AI and multi-provider adapters. I designed and built the whole system: from subagent and skill orchestration to finished documents.
Proven in practice
Hermes grew out of an AI marketing analyst: the task history counts 200+ breakdowns, audits and documents, and a typical deep audit takes about 45 minutes. Real clients: a dental clinic chain, a B2B crane manufacturer, an ERP product. Each got an audit, market research and a ready strategy.