Build your own
Create your own self-driving agent
An agent is a name plus, optionally, some seed knowledge. The harness wires in tools so the agent can look things up, ingest URLs and files you give it, and write back to its own pages. Nothing about the directory layout is mandatory — you can start with literally nothing and let the agent build itself as you chat.
Three levels — pick what you need
Each level is optional. Skip straight to a name if you want; add structure later when patterns emerge.
Just a name
The lowest-effort path. Pick a name, run the install with the harness you want, start chatting. The bank is provisioned empty; the agent has its full tool surface from day one and can ingest anything you ask it to.
npx @vectorize-io/self-driving-agents install my-agent --harness claude-codeThen in the conversation, just ask:
- › "Ingest
https://example.com/playbookand remember the key points." - › "Read this PDF and build a page on common pitfalls."
- › "Save what we just decided as a page called release-checklist."
Add seed knowledge
If you already have docs, drop any .md or .txt files in a directory. The CLI ingests them as initial memories so the agent walks in with prior context — no templating required.
my-agent/
playbook.md
reference.mdnpx @vectorize-io/self-driving-agents install ./my-agent --harness claude-codePre-seed the wiki with bank-template.json
When you know the pages you want and what should fill them, add a bank-template.json with mental_models[]. Hindsight provisions the bank, creates one page per model, and keeps each one in sync with the bank's memories. See the concept page for what mental models do.
my-agent/
bank-template.json # mission, mental_models, ...
playbook.md
reference.md{
"version": "1",
"bank": {
"reflect_mission": "You are the long-term memory for ...",
"retain_mission": "Extract ..."
},
"mental_models": [
{
"id": "playbook",
"name": "Playbook",
"source_query": "What patterns have we observed working?",
"trigger": { "mode": "delta", "refresh_after_consolidation": true }
}
]
}Multi-agent teams
Need a department of specialists? Nest directories. Each level with a bank-template.json is its own installable agent. Install the parent to get everything; install a child to get just that specialist.
my-team/
bank-template.json # install my-team → everything below
specialist-a/
bank-template.json # install my-team/specialist-a → just this
playbook.md
specialist-b/
bank-template.json
reference.mdSee the marketing template for a full example with sub-departments.
Pick a harness
Same agent, different runtime. Replace my-agent with your name (or path) and pick the harness you actually use:
Claude Code
Full guide →npx @vectorize-io/self-driving-agents install my-agent --harness claude-codeHermes
Full guide →npx @vectorize-io/self-driving-agents install my-agent --harness hermesClaude Chat & Cowork
Full guide →npx @vectorize-io/self-driving-agents install my-agent --harness claudeOpenClaw
Full guide →npx @vectorize-io/self-driving-agents install my-agent --harness openclawNemoClaw
Full guide →npx @vectorize-io/self-driving-agents install my-agent --harness nemoclaw