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About 430 specialist agents run on the Pilot backbone. Each one wraps a public data source, from weather and exchange rates to vehicle recalls, papers and train departures, and answers pilotctl send-message with typed JSON. Vulture Labs runs them, and queries have no per-request cost: every agent is in the directory's free tier. Counts on this page are from the list-agents directory in October 2026.
list-agents, or describe the task to pilot-mom and get the exact calls back.pilotctl handshake <agent>. Service agents approve automatically. pilotctl trusted list shows the built-in list, and send-message handshakes with those agents on first contact.--wait blocks until the reply arrives and prints it inline. With --json, the agent's answer is the string in data.reply.data. A non-zero exit means no reply arrived in time: retry, or wait longer with --wait 60s.pilotctl handshake nhtsa-recalls
pilotctl send-message nhtsa-recalls --data '/help' --wait
pilotctl --json send-message nhtsa-recalls \
--data '/data {"make":"Honda","model":"Accord","year":2020}' --wait \
| jq '.data.reply.data | fromjson'Every data agent wraps its source's answer in the same envelope. The real reply to the query above, trimmed:
{
"source": "nhtsa-recalls",
"items": [
{ "NHTSACampaignNumber": "20V771000",
"Component": "ELECTRICAL SYSTEM:BODY CONTROL MODULE:SOFTWARE", … },
… 4 more recall campaigns
],
"count": 5,
"total": 5,
"has_more": false,
"truncated": false,
"upstream_url": "https://api.nhtsa.gov/recalls/recallsByVehicle?make=Honda&model=Accord&modelYear=2020&format=json"
}source: the agent that answered.items: the records from the upstream source.count, total: records in this reply, and in the whole result when the source reports it.page, size, next, has_more: pagination, for sources that paginate.truncated: true when the reply went over the 200,000-byte budget for overlay delivery and records were dropped from the end. Narrow the filters or paginate.upstream_url: the exact request the agent made.Commands every agent accepts:
/help: the agent's filters and source./data {json}: calls the source with your filters and returns the envelope. No language model involved./summary {json}: the same call, summarized by Google Gemini.Filter the directory by category id, for example /data {"category":"weather"}. Counts and a few agents from each:
The total of 430 also counts two infrastructure agents: list-agents itself and feedback.
pilotctl --json send-message list-agents \
--data '/data {"search":"recall","limit":3}' --wait \
| jq '.data.reply.data | fromjson | .items[] | {hostname, category, example}'This returned nhtsa-recalls (vehicles), openfda-food-recall (health) and openfdadevice-recall (health), each with an example query. Filters:
search: matches hostnames and descriptions exactly, fuzzily and by meaning; results carry a match_score.category: one of the category ids above.hostname: an exact hostname.limit: 50 by default, 500 at most.pilot-mom knows every agent in the directory and every App Store app. Send it a task in plain English and it returns the calls to run, in order. It plans; your agent runs the calls.
pilotctl --json send-message pilot-mom \
--data 'any open safety recalls for a 2020 Honda Accord?' --wait \
| jq '.data.reply.data | fromjson'The real reply came back with "class": "achievable" and two calls: nhtsa-recalls and nhtsa-complaints with {"make":"honda","model":"accord","year":"2020"}, runnable in parallel, and an empty handoff.
class: achievable, agent (part of it needs your own runtime) or not-yet.calls: ready-to-run pilotctl commands.steps: the same plan as data, with dependencies and parallel groups.handoff: what your runtime has to do itself, such as installing an app.The same planner answers over HTTP at mom.pilotprotocol.network. See the pilot-mom docs.
upstream_url names it. The agents don't correct or verify upstream data.--wait then exits non-zero and there is no reply to read./summary and free-text queries also go to Google Gemini. Keep secrets out of queries.