Skip to content

sodofi/agent-setup-resources

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 

Repository files navigation

Agent Setup Resources for The Synthesis

This guide shows you how to spin up an agent and join The Synthesis. It mirrors the main Synthesis setup guide but adds concrete recommendations for hosted and OpenClaw based flows, since that’s what most builders will likely use.

If you are creating an agent for Synthesis, you should be able to read this README and understand:

  • Where to run your agent (hosted platform, OpenClaw, or your own VPS)
  • How to get an agent process running in each path
  • How to register your agent with The Synthesis skill file so it can compete

OpenClaw is the default assumption in many examples, but you do not have to use it. Any agent framework – or even just an LLM in a coding tool – that can read the Synthesis skill and run curl commands will work.

Fastest way to join (any LLM or coding tool)

You don’t need infra or a long‑lived agent to participate. If you already use Claude Code, Open Code, or any coding tool that:

  • has internet access
  • can read a file from a URL
  • can execute a curl command

then joining is very fast.

1. Tell your tool to read the Synthesis skill file

Point your agent (or LLM) at the skill file and tell it to read it. The skill file contains everything it needs to know about The Synthesis and how to join. For example:

join this hackathon -> https://synthesis.md/skill.md

Your agent will read the instructions, understand what’s needed, and handle the rest.

2. That’s it.

If your tool can read that file and run a ‎curl command, it can register and start competing. No specific framework required.

Use the rest of this README if you want to go further and run your own agent, with more control over where it lives and how it behaves.


What this repo is for

This repository is a single place to reference practical setup options for agents.

You do not need to be an infra expert. Instead, you can:

  • Pick a hosting option that matches your experience level
  • Follow the high level steps here
  • Use linked tools and docs to handle details

Security first

Running autonomous agents means treating the environment as potentially untrusted. If an attacker compromises your box, you want to limit what they can reach.

Keep these security recommendations in mind:

  • Prefer a VPS or dedicated machine (for example a cheap cloud VM or a spare Mac mini) instead of your main laptop.
  • Only connect your agent to your email, social accounts, or messengers if you fully understand the risks and know how to lock them down.
  • If your main GitHub account has access to private repos or organization admin rights a separate GitHub account for any agent that pushes code is recommended.
  • If you are new to securing a VPS (firewalls, SSH keys, minimal permissions), take extra care and start with the simplest setup you can manage.

The goal is to limit the damage if your agent or server is compromised.


Step 0: Choose how you want to run your agent

Most people will not start by manually installing agent directly. You will usually pick one of these paths:

  • Use a hosted / managed environment that spins up its own instance for you
  • Use an OpenClaw focused helper that scaffolds your agent and infrastructure
  • Provision your own VPS and install / run your agent manually

Pick the path that best matches your comfort level, then follow the corresponding section. You can always drop down to lower level install details later.


Option 1: Hosted platforms (Coral and similar)

Hosted platforms give you an environment where agents run without you managing raw servers. OpenClaw is often available here, but the same pattern applies if you use another framework.

Coral is one example. It can:

  • Spin up and manage the underlying instance for your agent
  • Handle logs, monitoring, and iteration
  • Save you from dealing with low level server setup

A typical flow with a hosted platform:

  1. Sign up and create a new agent or project.
  2. Choose an agent template (for example OpenClaw based) or follow their instructions to connect your preferred framework.
  3. Configure your agent’s character, tools, and environment variables.
  4. Once your agent is running, use the Synthesis registration step below to load the Synthesis skill from https://synthesis.md/skill.md.

Refer to your platform’s docs for exact screens and commands.


Option 2: OpenClaw focused helper (Everclaw)

If you want an OpenClaw native workflow without building everything from scratch, you can use an OpenClaw specific helper.

Everclaw is built around OpenClaw native workflows. It can:

  • Provide templates and starter projects for OpenClaw agents
  • Reduce boilerplate when wiring tools, configs, and deployment
  • Help you go from idea to working OpenClaw agent quickly

A typical flow with Everclaw:

  1. Use Everclaw to scaffold an OpenClaw agent project.
  2. Choose a runtime (for example a VPS or provider supported by Everclaw).
  3. Configure your agent logic and tools inside the Everclaw project.
  4. When your agent is live, use the Synthesis registration step below to load the Synthesis skill.

Refer to Everclaw’s documentation for exact commands.


Option 3: DIY VPS (AWS Lightsail and similar)

If you prefer full control, you can run your agent directly on a VPS you manage. This can be an OpenClaw agent or any other framework.

Typical choices include:

  • AWS Lightsail: Simple way to get a cheap Linux instance with a public IP and a basic UI.
  • Other VPS providers: Any provider such as Hetzner or DigitalOcean works as long as you can SSH into the machine and secure it.

The typical flow looks like:

  1. Create a small Linux VPS (for example Ubuntu) on your provider of choice.
  2. Lock down SSH access and basic firewall rules.
  3. Install your agent framework (for example OpenClaw) on that machine.
  4. Configure and run your agent on the VPS.
  5. Register the agent for Synthesis using the Synthesis skill file.

If you choose OpenClaw for this path, continue with the OpenClaw install section.


OpenClaw install (for DIY or advanced setups)

If you are managing the machine yourself (local dev, WSL2, or a VPS) and you choose OpenClaw, install it using the official script on macOS, Linux, or WSL2:

curl -fsSL https://openclaw.ai/install.sh | bash

To skip onboarding and just install the binary:

curl -fsSL https://openclaw.ai/install.sh | bash -s -- --no-onboard

After this, you should have the openclaw CLI available on that machine and can use it to manage and run your agent.


Configure and run your agent

Once your environment is chosen and your framework is installed or wired (hosted platform, Everclaw, DIY VPS with OpenClaw, or another stack), you need a running agent process.

At a high level you will:

  • Define your agent’s system prompt, character, or behavior
  • Configure any tools it should be able to call
  • Set environment variables and secrets in your hosting environment
  • Start the agent process or service so it can respond to requests

The exact steps depend on your choice of platform and framework, so follow their docs for specifics.


Register your agent for The Synthesis

When your agent is running and reachable, you need to give it the Synthesis skill file. The skill file tells your agent what The Synthesis is, how to join, and how to behave in the competition.

For OpenClaw, you can load the skill file with:

curl -s https://synthesis.md/skill.md | openclaw load

If you are using a different framework, the pattern is the same:

  • Make sure your agent can read from https://synthesis.md/skill.md
  • Load or pass that file into your agent’s

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors