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camelRun

camelAI v1.0.2

Build and host AI agents

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Competitor profile

Developer declarations; not independently tested. Listing last checked Nov 4, 2026. Package observed Nov 3, 2026.

Declared capabilities

  • Create persistent hosted AI agents
  • Configure agent instructions, models and supported tools
  • Run agents and continue their conversations

Cost & access

The plugin does not sell products or process payments.

Declared limitations

  • Unrelated request: nothing to do with camelRun agents, so the plugin should not be used.
  • Credentials in chat: the plugin must not collect or store secrets passed in the conversation.
  • Another person's account: the plugin acts only for the connected camelRun account.

Onboarding example

Create a web research agent and try it on a topic I choose.

View onboarding source →

View package source →

Description

From the marketplace listing

camelRun hosts persistent AI agents for developers and teams. Describe an agent's job, give it instructions and supported tools, and run it from the conversation. Agents keep their conversation history until deleted and can run scheduled tasks or pause for a person's answer or approval. Create a research assistant with web search, continue an existing agent's work, review its replies and tool activity, adjust its model or instructions, and manage its schedules. For reusable configuration, deploy agent.yaml manifests with versioned definitions and preview changes before applying them. The plugin operates only on the camelRun account you connect. Runs use that account's credit. Agents can use built-in tools and configured integrations; applications serving attached tools must be connected for those tools to work. Manage billing and provider keys in the camelRun console. Deploy tool connections requiring secrets with the camelrun CLI so credentials stay out of chat. Deleting an agent or definition is permanent and requires confirmation.

Language: English · Automatically detected from descriptions.

What changed

· 3 observations

Pricing references

Full description changed from “Create, deploy and run AI agents on camelRun, camelAI's hosted agent runtime.” to “Build and host persistent AI agents on camelRun. Create agents, run tasks, review their work, schedule checks, and deploy reusable configurations.”. Capabilities updated; open the comparison for details....

View comparison →
Technical updates · 1

Package or technical metadata updated

View technical comparison →
Earlier changes · 1 more observation days on this page

Keywords

Files & skills

File archives

Plugin package10 files · 41 KBBrowse files →
Skill instructions
create-first-agent2.95 KB

View saved version →

---
name: create-first-agent
description: Create a first camelRun agent from a plain-language description, try it with a message, and explain how to keep using it. Use when someone wants to build, set up or try an AI agent on camelRun, or asks how to get started with camelRun.
---

Help the person create a working camelRun agent and see it answer, in a few steps. Their explicit instructions
take priority over this workflow: skip or change steps when they ask.

1. Call `whoami` to confirm which camelRun account is connected and its default model. If the call fails because
   the account is not connected, ask them to connect camelRun and stop.
2. Work out what the agent is for. If the request doesn't say, ask one short question, such as "What should the
   agent do, and who will talk to it?". Don't ask for anything else up front.
3. Choose, and tell them in one line:
   - a key: 1 to 80 lowercase letters, digits and hyphens that name the agent (for example `news-digest`). The same
     key is the same agent, so check `list_agents` first and pick another key if it is taken, unless they want to
     change that agent.
   - built-in tools, only the ones the job needs: `web_search` and `web_fetch` to look things up on the web,
     `schedule` to wake itself later, `ask_user` to ask a person before acting.
   - a system prompt of a few sentences: the agent's job, its audience, its tone and what it must not do.
   Use the account's default model unless they ask for another; `list_models` shows the choices.
4. Call `create_agent` with the key, system prompt and built-ins.
5. Call `run_agent` with a first message that shows the agent doing its job, and show the reply as the agent wrote
   it. Never write or improve the agent's reply yourself.
   - `running`: call `get_run` with the `requestId` until it ends.
   - `input_required`: show the person the agent's question or approval, and call `answer_input` only with what
     they decided.
   - `failed`: show the error and suggest a fix, such as another model.
6. Finish with how to keep going: message it again by its key, change it with `configure_agent`, schedule it with
   `add_schedule`, and see it in the console at https://run.camelai.com/console. It keeps its history until
   deleted.

When they want the same configuration for several agents, or kept in a repository, write an agent.yaml manifest and
deploy it with `deploy` (call `read_docs` with `guides/definitions.md` for its fields), using `dryRun` first.

Rules:

- Never ask for, repeat or put credentials (API keys, tokens, passwords) in a manifest or a message. If the agent
  needs a tool server that takes a secret, explain that it is deployed with the camelrun CLI (`camelrun deploy`),
  which reads secrets from its environment, and point to https://run.camelai.com/docs/reference/cli.md.
- Delete agents, definitions or schedules only when the person asks, one at a time, after they confirm.
- Only act on the connected account. You can't see or change anyone else's agents.

Referenced files: 1 — file references are metadata, not package contents.

Release notes

Improve discovery with a hosting-focused subtitle, clearer task-oriented description, expanded capability labels and starter prompts, and relevant discovery keywords. Agent tools, account scope, connection settings, and onboarding behavior are unchanged.

Declared in the saved package. Remote tools may change independently.

Package details

Publisher declarations from the archived package. These are separate from our research and the live service's terms.

Package license
MIT
Package author
camelAI
Keywords
See keywords
Getting started skill
./skills/create-first-agent/SKILL.md
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
5 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Create persistent hosted AI agents
  • Configure agent instructions, models and supported tools
  • Run agents and continue their conversations
  • Read agent replies, run status and tool activity
  • Schedule one-time or recurring agent tasks
  • Answer pending agent questions, approvals and forms
  • Preview and deploy reusable agent configurations

Package observed Nov 3, 2026.

Technical details
First seen
Oct 24, 2026 · 12:40 UTC
Last seen
Nov 4, 2026 · 06:00 UTC
Latest observed change
Oct 28, 2026 · 18:05 UTC
Collection status
Collected

plugin_asdk_app_6abe87836128819190a0f5a2ea32a8ef

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