Hermes went from v0.1.0 in February to v0.8.0 two months later. New skills, new backends, new gateway integrations every week. Most developers are installing blindly and hoping it sticks. We stay current so you don't waste a weekend on tools that will not deliver.
Anthropic ended subscription credit support for third-party harnesses on April 4, 2026. If you built on OpenClaw or Claude Code and relied on Max, Hermes Agent's no-lock-in provider switching (Nous Portal, OpenRouter, z.ai, Kimi, MiniMax, OpenAI, custom endpoints) is the fastest way out — but only if it is configured correctly.
Hermes Agent ships FTS5 session search, Honcho dialectic user modeling, auto-generated skills, and cross-session recall — but stacking them without a plan produces an agent that remembers too much of the wrong things. We configure memory so it is useful, not noisy.
Concrete, hands-on work on your specific setup — not a walkthrough of features you could have read in the docs.
Linux, macOS, WSL2, Android/Termux — we go through `hermes setup`, `hermes model`, `hermes gateway` live on your machine. You end the session with Hermes actually running, model provider wired up, and your first skill saved.
Nous Portal, OpenRouter (200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, custom endpoints — we pick the right provider for your cost, latency, and privacy constraints and set it up so switching later is one command, not a rewrite.
We configure the closed learning loop end-to-end — persistent memory, FTS5 session search with LLM-powered summarization, Honcho user modeling, and auto-generated skills that improve as you use them. You leave with an agent that actually remembers your project across sessions.
Telegram, Discord, Slack, WhatsApp, Signal, Email — all from one gateway process with shared context. We wire up the channels you actually use, set up channel-level permissions, and make sure your agent is reachable from wherever you work.
Isolated sub-agents with separate conversation contexts for parallel work. Six deployment backends — local, Docker, SSH, Singularity, Daytona, Modal — with serverless persistence and hibernation when idle. We match the backend to your reliability and cost profile.
By the end of the session you know which skills from agentskills.io are worth installing, which MCP servers to wire in, and whether Hermes should be your primary harness or run alongside Claude Code and OpenClaw for different jobs. No more guessing.
The Hermes Agent ecosystem is moving fast. We stay current with what's production-ready — so you don't waste a session on tools that aren't worth it.
The open skill standard Hermes is built on. Curated, community-maintained skills you can drop into your agent — plus a place to publish your own. We help you pick the ones worth installing and skip the rest.
Dialectic user modeling layer Hermes uses to build a persistent profile of you over time — preferences, patterns, context. Configured right, it makes the agent feel like it actually knows you.
Full-text session search with LLM-powered summarization. Your agent can pull up anything from prior conversations without a vector database. We tune the recall behavior so it surfaces the right things without burning context.
One gateway process, six channels — Telegram, Discord, Slack, WhatsApp, Signal, Email. Shared context across all of them. We wire up the channels you actually use and set channel-level permissions.
Isolated sub-agents with separate conversation contexts and execution environments via Python RPC scripts. For research, long-running tasks, or anything that should not block your main thread.
Serverless deployment backends with hibernation when idle — your agent is always reachable from messaging without paying for an always-on VM. We match the backend to your reliability and cost profile.
Hermes supports the Model Context Protocol natively — connect any MCP server for extended tools and data sources. We wire up the servers that matter for your workflow and verify they actually work.
Switch between Nous Portal, OpenRouter (200+ models), z.ai, Kimi, MiniMax, Hugging Face, OpenAI, and custom endpoints with `hermes model` — no code changes. We pick the right provider for your budget and latency needs.
Your agent has real power — is it contained? Five sandbox backends with namespace isolation, tool permissions, audit logging. We configure production-grade boundaries so autonomy does not become a liability.
Not sure which components you actually need? We help you decide in the session.
Self-learning gets you started. Expert coaching gets you results.
| Self-Learning | Cortension Coaching | |
|---|---|---|
| Time to productivity | Weeks to months | Same day |
| Knowledge retention | Ad-hoc, inconsistent | Structured, documented |
| Custom configuration | Trial and error | Expert-built templates |
| Team alignment | Uneven adoption | Shared playbook |
| ROI timeline | 3-6 months | Week one |
| Support level | Community forums | 30-day async follow-up |
From booking to a working Hermes setup in three straightforward steps. Fully remote, fully tailored to your environment.
Pick a time on Calendly and fill in a short intake form. Tell us your current harness (if any), your model provider, what you want Hermes to do for you, and which messaging channels matter. That is all we need on your side.
Based on your intake, we come in with the right install path, provider choice, skill set, and gateway config for your situation. If you are migrating from OpenClaw or Claude Code, we review your existing skills and memory to see what ports over cleanly.
Hands-on screen-share session. You leave with Hermes installed, your model provider wired up, memory and skills configured, your messaging channels live, and a written summary of what we did plus clear next steps for continuing to build on it.
Pick a time on Calendly and fill in a short intake form. Tell us your current harness (if any), your model provider, what you want Hermes to do for you, and which messaging channels matter. That is all we need on your side.
Based on your intake, we come in with the right install path, provider choice, skill set, and gateway config for your situation. If you are migrating from OpenClaw or Claude Code, we review your existing skills and memory to see what ports over cleanly.
Hands-on screen-share session. You leave with Hermes installed, your model provider wired up, memory and skills configured, your messaging channels live, and a written summary of what we did plus clear next steps for continuing to build on it.
Flat rate, no surprises.
1 hour · Remote · 1-on-1
Not happy with the session? Contact us within 48 hours and we will schedule a complimentary follow-up to address whatever was missing.
The migration from OpenClaw after the Claude Max subscription change took under an hour. The session mapped what would port cleanly, set up Nous Portal as the LLM provider, and produced a written migration path the rest of the team could follow independently.
One gateway process across Telegram, Slack, and WhatsApp, shared context across all of them, channel-level permissions configured for team use. Working by the end of the session.
FTS5 session search, Honcho user modeling, and auto-generated skills all configured correctly in a single session. The agent now carries full project context across sessions — the part the documentation does not cover clearly.
Representative outcomes from client sessions. Results vary by setup and goals.
What developers ask before booking their first Hermes Agent session.
Hermes Agent is an open-source autonomous AI agent built by Nous Research. It combines persistent cross-session memory, auto-generated skills that improve with use, a messaging gateway across Telegram, Discord, Slack, WhatsApp, Signal, and Email, sub-agent orchestration, MCP integration, and six deployment backends — all under MIT license with no LLM lock-in. At time of writing it has over 83,000 GitHub stars and is on v0.8.0 after launching in February 2026.
OpenClaw and Claude Code are primarily coding-focused harnesses. Hermes Agent is a general autonomous agent with stronger persistent memory, a closed learning loop (solves a task → writes a reusable skill → stores the outcome → improves next time), and a multi-channel messaging gateway. For pure coding work, Claude Code often still produces higher-quality output. For long-running automation, research, and multi-platform reachability, Hermes is usually the better fit. Many developers run more than one.
Usually, yes. Hermes has no provider lock-in — you can switch between Nous Portal, OpenRouter (200+ models), z.ai/GLM, Kimi, MiniMax, Hugging Face, OpenAI, and custom endpoints with a single command. This is one of the most common migration situations we are helping with right now. In the session we look at your workload, pick the provider that fits your cost and latency needs, and wire it up.
Hermes supports six — local, Docker, SSH, Singularity, Daytona, and Modal. Local is fine for experimentation. Docker is the usual choice for workstation setups. Modal and Daytona give you serverless persistence with hibernation when idle — best for agents that need to be reachable from messaging but do not need to be running constantly. We match the backend to your reliability and cost profile in the session.
Hermes ships FTS5 full-text session search with LLM-powered summarization for cross-session recall, Honcho dialectic user modeling for building up a profile over time, and auto-generated skills that the agent writes after solving complex tasks. The real work is configuring these so the agent remembers the useful things and forgets the noise. We walk through the whole loop live.
Instead of running separate bots on each platform, Hermes runs one gateway process that connects your agent to Telegram, Discord, Slack, WhatsApp, Signal, and Email simultaneously — with shared context across all of them. You can message your agent from your phone during a commute and continue the same conversation from your terminal at your desk. In the session we wire up the channels you actually use and configure channel-level permissions.
Yes, and plenty of developers do. Claude Code for deep coding work, OpenClaw for specific tool integrations you have already built, Hermes for long-running automation, research, and multi-channel reachability. We can help you design a setup where each tool does what it is best at without stepping on the others.
A machine running Linux, macOS, WSL2, or Android/Termux. An API key from a supported LLM provider (we can help pick one during the session if you do not have one yet). That is it — we can start from zero install if needed.
A 60-minute video call with screen sharing, fully remote. We work through your setup together — collaborative problem solving, not a lecture. You get a recording and a written summary afterwards, plus 30 days of async email support.
If you feel the session did not address your issue effectively, get in touch and we will schedule a follow-up at no extra cost to make it right.
One session and Hermes is running on your stack: memory configured, skills wired in, messaging live, your model provider set up to switch on demand. Book now and walk away with a working autonomous agent.
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