Yes, you can run a full multi-agent AI team — one that builds websites, writes code, and manages its own task queue — for $0/month. The combination of Hermes Agent (an open-source orchestrator by Nous Research), OpenCode (a provider-agnostic coding agent), and OpenRouter's free model tier gives you an autonomous agent workforce without touching a credit card. Hermes orchestrates and delegates; OpenCode executes the code; free models provide the brainpower.
Last verified: 2026-08-02 — Hermes Agent is MIT-licensed and self-hosted. OpenCode is open-source with 75+ providers. OpenRouter offers 25+ free models. All three are free as of this date. Volatile facts: Free model availability and rate limits change frequently. Re-check monthly.
What This Setup Actually Does (and Why It Saves You Money)
The core stack is an orchestrator + builder split: Hermes Agent acts as the project manager — it receives tasks, decomposes them, and hands code work to OpenCode. OpenCode runs as an autonomous coding worker, writes the actual files, and returns verified results. Hermes then checks the artifact before moving on. This separation matters because it means the orchestrator never writes code directly — it delegates, verifies, and coordinates, which is exactly what a real development team does.
The economics work because every component is free at the infrastructure layer. Hermes Agent is MIT-licensed and runs on a $5 VPS or even your laptop (GitHub — NousResearch/hermes-agent). OpenCode is open-source and connects to any model provider (OpenCode docs). OpenRouter provides a free tier with 25+ models including coding-capable ones, with rate limits of 20 requests/minute and 200 requests/day on free accounts (OpenRouter Hermes Agent guide).
What You Need Before You Start (The Prerequisites)
Three tools, all free:
| Component | What It Is | Cost | Source |
|---|---|---|---|
| Hermes Agent | Open-source autonomous AI agent (orchestrator) | Free (MIT) | GitHub |
| OpenCode | Provider-agnostic coding agent (builder) | Free (open source) | opencode.ai |
| OpenRouter account | Model routing gateway with free tier | Free tier available | openrouter.ai |
You also need a Linux, macOS, or WSL2 environment. Hermes installs with a single curl command and requires no sudo access — the installer brings its own Python 3.11 and uv package manager. Minimum specs: 2 GB RAM, 2 GB disk. Recommended: 4–8 GB RAM (Hermes installation docs).
One thing you absolutely must get right: Hermes Agent needs a model with at least 64K context tokens to run properly. The system prompt plus tool schemas consume a significant chunk of context before any conversation begins. Check supported context sizes before choosing a free model (OpenRouter models page).
Step 1: How Do You Install Hermes Agent?
Install Hermes on your machine or VPS:
# Linux / macOS / WSL2
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
This single command installs uv, Python 3.11, clones the Hermes repository, and creates a virtual environment — all without sudo (Hermes install guide). After installation, the hermes binary is symlinked into ~/.local/bin/.
Verify the install:
hermes --version
hermes doctor
hermes doctor tells you exactly what is missing and how to fix it if anything goes wrong.
Step 2: How Do You Get Free Models for Hermes Agent?
This is the critical cost-saving step. Hermes itself is free — you only pay for model tokens. To make that zero, route through OpenRouter's free tier.
Get an OpenRouter API key:
- Sign up at openrouter.ai
- Generate an API key (free accounts get access to all free-tier models)
- Set the environment variable:
export OPENROUTER_API_KEY="sk-or-v1-your-key-here"
Configure Hermes to use OpenRouter with a free model:
Run the interactive setup wizard, which walks you through selecting a provider and model:
hermes model
Or set it manually in ~/.hermes/config.yaml:
model:
provider: openrouter
default: ~anthropic/claude-sonnet-latest # or a free model slug
OpenRouter's catalog includes 25+ free models across multiple providers. For coding tasks, GLM-5.2 (model ID: z-ai/glm-5.2) stands out — it has a 1M-token context window, is MIT-licensed, and scored 62.1% on SWE-bench Pro, putting it in frontier territory for coding work (OpenRouter Hermes Agent guide; OpenRouter free models collection).
Other free coding-capable options include models from DeepSeek and Qwen families. The key constraint: filter by context length of at least 64K at openrouter.ai/models before committing a model to your config.
If you want to go fully local (no external API at all), you can run models via Ollama:
brew install ollama # or: curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.1:8b
ollama serve &
This gives you a $0, fully private setup — though local models on modest hardware will be slower than routed API models.
Step 3: How Do You Install OpenCode as the Coding Worker?
OpenCode is the builder in this stack. Install it:
# Quick install
curl -fsSL https://opencode.ai/install | bash
# Or via npm
npm i -g opencode-ai@latest
# Or via Homebrew
brew install anomalyco/tap/opencode
OpenCode is a provider-agnostic AI coding agent with a terminal TUI and CLI. It supports 75+ LLM providers and can connect to any model — including free ones through OpenRouter (OpenCode models documentation). You can also use OpenCode Zen for a curated, benchmarked model list.
Configure OpenCode with your OpenRouter key (the same one Hermes uses):
opencode auth login # or set OPENROUTER_API_KEY in your environment
Verify OpenCode works:
opencode auth list # should show at least one provider
opencode run 'Respond with exactly: OPENCODE_SMOKE_OK'
If the output includes OPENCODE_SMOKE_OK and no provider errors appear, OpenCode is ready (Hermes OpenCode skill documentation).
Step 4: How Do You Connect OpenCode to Hermes Agent?
This is where the orchestrator-builder pattern comes alive. Hermes Agent ships with a built-in OpenCode skill that lets it delegate coding tasks to OpenCode as an autonomous worker. Hermes never writes HTML or application code itself — it uses the skill to hand coding work to OpenCode, which builds and returns verified artifacts.
The skill is part of Hermes's bundled autonomous-ai-agents skill group. When loaded, Hermes can use opencode run for one-shot tasks or launch interactive OpenCode sessions for iterative work. The key design rule: the orchestrator and the builder stay separate. Hermes routes, decomposes, and verifies; OpenCode writes every line (Hermes OpenCode skill — GitHub).
For one-shot code tasks:
# Hermes delegates a bounded task to OpenCode
opencode run 'Create a responsive landing page with a hero section and contact form'
For long-running coding sessions with progress checks, use interactive mode with pty=true. Hermes can monitor the process logs and report concrete outcomes (files changed, tests passed, remaining risks).
Step 5: How Do You Set Up the Kanban Board for Multi-Agent Task Dispatch?
This is the piece that turns two tools into a self-managing team. Hermes ships with a built-in Kanban board — a durable task queue backed by SQLite that coordinates work across multiple agent profiles. Tasks flow through triage → todo → ready → running → done, with a dispatcher that automatically claims and spawns workers for ready tasks (Hermes Kanban documentation).
Initialize the board:
hermes kanban init
hermes dashboard # opens the visual web dashboard (port 9119, loopback)
Create specialist agent profiles:
Each profile is a separate Hermes home directory with its own config, memory, sessions, and skills. A profile called coder gives you coder chat, coder setup, coder gateway start, and so on.
hermes profile create orchestrator --description "Routes tasks, decomposes goals, delegates to workers"
hermes profile create coder --description "Writes code using OpenCode"
hermes profile create researcher --description "Reads sources and writes findings"
Each profile needs its own setup to configure API keys and model (Hermes profiles documentation).
Create tasks and assign them:
hermes kanban create "Build a landing page for project X" \
--assignee coder \
--priority 2 \
--body "Responsive HTML/CSS with hero section and contact form"
The dispatcher (which runs inside the messaging gateway by default) automatically claims and spawns workers for ready tasks. Failures retry themselves on the Kanban board until the work is done — you come back to completed artifacts instead of babysitting each prompt.
Step 6: How Do You Automate the Whole Pipeline on a Schedule?
Once your board and profiles are set up, you can run the entire system on autopilot. Hermes has built-in cron scheduling that delivers results to any platform — Telegram, Discord, Slack, email, or SMS.
# Run the gateway (hosts the Kanban dispatcher)
hermes gateway start
The dispatcher sweeps all boards on a configurable interval (default: 60 seconds), promotes ready tasks, spawns workers, and handles crashes. If a worker process dies, the dispatcher detects it, closes the run, and re-queues the task. Consecutive failures are bounded by a circuit breaker that blocks the task for human review after a configurable limit.
You can schedule recurring tasks — for example, "build a new app prototype every day based on today's research notes" — and Hermes will run them on the cron schedule, dispatch the work through the Kanban board, and deliver the results to your preferred platform. This is the difference between using an AI agent as a chat tool and running it as an autonomous workforce.
What This Means for You
If you are a solo builder, a small business owner, or someone operating in a region where $200/month AI subscriptions are out of reach, this stack removes the paywall. You get:
- A project manager (Hermes Agent) that decomposes work and verifies results
- A coding worker (OpenCode) that writes real applications
- A task board (Kanban) that retries failures automatically and survives restarts
- A scheduling layer (cron) that runs jobs while you sleep
- Zero recurring cost — free models via OpenRouter, or fully local via Ollama
The tradeoff: free models have rate limits (20 req/min, 200 req/day on OpenRouter's free tier), and complex multi-file refactors are where free models struggle most. Keep a frontier model configured for the hard 20% of tasks. But for landing pages, mini-apps, dashboards, research workflows, and content production, free models handle the bulk of the work capably.
For more on building a full agent operating system from free layers, see our 5-layer free AI agent OS guide. If you are already running agents and want to plug in a new free model, our system-over-model guide for swapping LLMs walks through the wiring. And for a broader roundup of no-cost agent tools, check our 13 best free AI agent tools of 2026.
FAQ
Q: Is Hermes Agent really free?
A: Yes. Hermes Agent is MIT-licensed and open source, built by Nous Research. You pay only for the model tokens it uses. With OpenRouter's free tier or a local model via Ollama, that cost can be $0. The agent itself, including all 40+ bundled skills, costs nothing to run (GitHub — NousResearch/hermes-agent).
Q: What is the best free model to use with this setup?
A: GLM-5.2 (model ID z-ai/glm-5.2) is the strongest free coding-capable model as of mid-2026, with a 1M-token context window and 62.1% on SWE-bench Pro. It is available on OpenRouter's free tier. The key requirement: choose a model with at least 64K context tokens, or Hermes may refuse to start (OpenRouter models page).
Q: How is the Kanban board different from just chatting with an agent?
A: The old way is one agent, one prompt, one build at a time — you are the message queue, going back and forth on every retry. The Kanban board creates a durable task queue: you drop tasks on the board, the dispatcher claims and delegates them automatically, failures retry themselves, and you come back to completed work. Tasks survive process restarts because they are stored in SQLite (Hermes Kanban documentation).
Q: Can I run this entirely on a $5 VPS?
A: Yes. Hermes installs via a single curl command with no sudo, needs 2 GB RAM minimum, and can connect to OpenRouter for models so nothing heavy runs locally. If you want to run local models too, you will need more RAM (16+ GB recommended), but the orchestration layer itself is lightweight (Hermes installation docs).
Q: What happens when a worker agent crashes?
A: The Kanban dispatcher detects the missing process, closes or reclaims the active run, returns the task to ready status, and can spawn a fresh worker. After a configurable number of consecutive spawn failures (default: 2), a circuit breaker auto-blocks the task with the last error as the reason, preventing thrashing on tasks whose profile or workspace cannot mount (Hermes Kanban documentation).
Q: Do I need separate API keys for each agent profile?
A: No. You can clone an existing profile's config with hermes profile create <name> --clone, which copies the API keys, model, and skills into the new profile. If you want different profiles to use different models or providers, each profile has its own .env and config.yaml where you can set independent keys (Hermes profiles documentation).
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