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Olbrain Alchemist

Olbrain v0.9.11

Build and publish AI agents

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From the developer

Declared capabilities

  • Interactive
  • Read
  • Write

Declared limitations

  • An unrelated coding task: Codex answers itself and calls no Alchemist tool.
  • A general knowledge question: Codex explains it itself and calls no Alchemist tool.

Not specified in the available declarations: pricing & account requirements.

Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 11, 2026. Package observed Nov 10, 2026.

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Description

From the marketplace listing

Alchemist is Olbrain's agent builder. Tell Codex what the agent should do, in plain words. Codex plans and designs the agent from your words and your project, with Alchemist's step-by-step guidance; Alchemist builds it in your Olbrain organisation, tests it on real inputs, checks every step in order and publishes it, asking you before anything goes live. It builds chat agents, automatic jobs (started by a schedule, a webhook, an email or a new file in a watched folder), teams of agents behind one front door, and research agents. It connects website chat, WhatsApp, Shopify storefront chat, your phone number and Microsoft Teams, tools from Olbrain's connector catalog, any REST API or your own MCP server, and the agent's knowledge files. It also shows an agent as a diagram, reviews live agents, puts a live agent on your website or behind a server route in your project, and handles your Olbrain support tickets. Every agent runs on Olbrain and stays visible in Noesis, Olbrain's console, where your team can open, review and change it.

Language: English · Automatically detected from descriptions.

Matches for “folder”

Exact text from the indicated source. A mention alone does not establish support for your task.

Publisher full description

Alchemist is Olbrain's agent builder. Tell Codex what the agent should do, in plain words. Codex plans and designs the agent from your words and your project, with Alchemist's step-by-step guidance; Alchemist builds it in your Olbrain organisation, tests it on real inputs, checks every step in order and publishes it, asking you before anything goes live. It builds chat agents, automatic jobs (started by a schedule, a webhook, an email or a new file in a watched folder), teams of agents behind one front door, and research agents. It connects website chat, WhatsApp, Shopify storefront chat, your phone number and Microsoft Teams, tools from Olbrain's connector catalog, any REST API or your own MCP server, and the agent's knowledge files. It also shows an agent as a diagram, reviews live agents, puts a live agent on your website or behind a server route in your project, and handles your Olbrain support tickets. Every agent runs on Olbrain and stays visible in Noesis, Olbrain's console, where your team can open, review and change it.

What changed

· 6 observations

Capabilities & instructions

Skill instructions changed from “--- Show the user where things stand in Alchemist: 1. Call `whoami`: who they are signed in as and the active organisation. 2. Call `alchemist_builds`: list...” to “- mcp__plugin_alchemist_alchemist__alchemist_state --- Show the user where things stand in Alchemist: 1. Call `whoami`:...

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Capabilities & instructions

Full description changed from “Start building an Olbrain agent with Alchemist from a description.” to “Start building an Olbrain agent with Alchemist from a description. Use only when the user asks to start a build.”. Skill instructions changed from “argument-hint: <what the agent should do>...

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Capabilities & instructions

Skill instructions changed from “Its own model plans, builds, tests and publishes the agent. Your job is to pass the user's words to it, show them what it says, and carry their decisions...” to “Use it for Olbrain agents and the user's Olbrain organisation, never for unrelated coding. On builds you drive (section 4)...

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Capabilities & instructions

Default prompt removed: “Use Alchemist to build an agent that answers questions about our pricing and hands refunds to a person”. Default prompts updated; open the comparison for details. Long description changed from “Alchemist's own model works out what kind of agent it is, plans it, builds it in your Olbrain...

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Technical updates · 1

Package or technical metadata updated

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Keywords

Files & skills

File archives

Plugin package7 files · 27.6 KBBrowse files →
Skill instructions
alchemist20.4 KB

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---
name: alchemist
description: Build, change, test and publish Olbrain AI agents (chat agents, automatic jobs, teams of agents and research agents) with Alchemist, Olbrain's agent builder. Use when the user wants to create or edit an Olbrain agent, asks what Alchemist can do or whether it can do something, get suggestions for which agents their business needs and their requirements documents, check on a build, answer an Alchemist approval card, see an agent as a diagram, put a live agent on their website or call it from their app's code, raise or follow up their Olbrain support tickets, or set up their Olbrain organisation.
---

# Working with Alchemist

Alchemist is Olbrain's agent builder. Use it for Olbrain agents and the user's Olbrain
organisation, never for unrelated coding. On builds you drive (section 4) you plan and
design the agent, with Alchemist's step-by-step guidance; Alchemist builds it, runs and grades
its tests, checks every step in order and publishes it. On builds Alchemist's own model drives
(section 5), it does the designing and you pass the user's words on.

## 1. Check who and where

Call `whoami` first.

- **No organisation:** ask the user what to call one, then call `create_org`. Never invent a name.
- **Several organisations:** say which one is active. If the user wants another, call
  `select_org`. Tell them first that this switches the organisation everywhere they are
  signed in, including open Studio and Noesis tabs.

## 2. Start or find the build

- When the user asks what Alchemist can do, or whether it can do something, call
  `alchemist_capabilities` and answer from it. Never say it can't without checking.
- Start or continue a build with `alchemist`, passing the user's request as `message` in their
  words. Keep the `build_id`. Which build a message goes to; the first match wins:
  1. **A build with a card waiting or a turn running** (`needs_you` or `running`): continue it.
     Never start a new build for that work, and never resend a message while a turn runs.
  2. **Changing a published agent whose build isn't in this conversation:** a new build with
     `attach_agent_id`. Find the id by listing live agents with `alchemist_connect`; ask
     which one when names repeat. Builds are private to whoever started them.
  3. **More about the same agents, or follow-ups after a publish here:** pass its `build_id`.
  4. **A new or unrelated agent**, or a `build_id` that returns "Not found": a new build, with
     `title` (the agent's purpose in a few plain words) and a `request_id` you make up.
  5. **Earlier work without its `build_id`:** find it with `alchemist_builds` by `label` and
     `agents`, and read it with `alchemist_build` first. An `idle` build can hold an unfinished
     interview. If more than one could match, ask, naming each by `label`, never by id.
- When a new build's result has `resume_hint`, say in a line which other builds are open.

## 3. Which way the build runs

If `alchemist_state` is in your tool list, you drive the build (section 4). If it is missing,
or `alchemist_state` or `alchemist_do` replies that the build uses `alchemist`, Alchemist's own
model drives it: use the `alchemist` tool (section 5). A build Alchemist's model was driving (started
in Noesis, or before you could drive builds) passes to you when you send it the user's words with
`alchemist` or answer one of its cards, unless a turn is running on it: follow that turn to its end,
and your next message takes it over. When a result has `taken_over`, tell the user in a line that you
drive the build from here, then read `alchemist_state`.
On a build you drive, `alchemist` still starts the build and records each new request or
answer from the user, in their words, but it returns the state instead of running a turn.

## 4. Driving a build yourself

1. **State first.** Call `alchemist_state(build_id)` at the start, when a result's
   `state.stage` differs from the last one you read, after a refusal, and after a car

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build1013 Bytes

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---
name: build
description: Start building an Olbrain agent with Alchemist from a description. Use only when the user asks to start a build.
argument-hint: <what the agent should do>
disable-model-invocation: true
allowed-tools:
  - mcp__plugin_alchemist_alchemist__whoami
  - mcp__plugin_alchemist_alchemist__alchemist_builds
  - mcp__plugin_alchemist_alchemist__alchemist_build
  - mcp__plugin_alchemist_alchemist__alchemist_capabilities
  - mcp__plugin_alchemist_alchemist__alchemist_state
---

Build an Olbrain agent with Alchemist, following the alchemist skill: check `whoami` first,
then find or start the build with the `alchemist` tool, passing the request in the user's
words. If `alchemist_state` is in your tool list, call it and follow it; otherwise follow the
`alchemist` tool's turns.

Request: $ARGUMENTS

If the request above is empty, or still reads `$ARGUMENTS`, use what the user asked for in
their message. If there is nothing, ask the user what the agent should do before calling any tool.
status1.38 KB

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---
name: status
description: Show your Olbrain account, active organisation and Alchemist builds, with any cards waiting on you.
disable-model-invocation: true
allowed-tools:
  - mcp__plugin_alchemist_alchemist__whoami
  - mcp__plugin_alchemist_alchemist__alchemist_builds
  - mcp__plugin_alchemist_alchemist__alchemist_build
  - mcp__plugin_alchemist_alchemist__alchemist_state
---

Show the user where things stand in Alchemist:

1. Call `whoami`: who they are signed in as and the active organisation.
2. Call `alchemist_builds`: list the builds by `label`, in the order returned (waiting
   and running first; say how long a `stale` one has waited). Group `idle` builds (no agent yet) on one line each at the end. They can hold an
   unfinished interview, so never call them empty.
3. For each build with a card waiting or a turn running, call `alchemist_build` and
   show any open cards with their title and `responses`. If `alchemist_state` is in your
   tool list, also call it for that build and give its next step in one line; if it replies
   that the build uses `alchemist`, skip that line. Reading the state clears the build's news,
   so show every `queued` message and `inbox` item it returns for that build, and treat a
   `queued` message as the user's own instruction for the build.

For a waiting card, follow the alchemist skill: it says when you may answer it and
when to ask the user.

Release notes

Codex now plans and designs the agent itself, with step-by-step guidance from alchemist_state, and sends each step through alchemist_do; Alchemist builds, tests, checks the order of steps and publishes. Codex can take over a build that Alchemist's own model was driving. Removing an agent, forgetting a customer, renames and publishing despite failing tests are answered in the browser. Long turns return while they run, with a progress line every few seconds. Waiting builds are resumed first, builds can be renamed and rated, and a published version of an agent can be shown as a diagram. Platform gaps are reported directly instead of asking the user to raise a ticket. Errors from Alchemist now carry codes the skill acts on, so Codex recovers from a refused step on its own instead of retrying blindly. The plugin is now MIT licensed.

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
Olbrain
Keywords
See keywords
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.
Review scenarios
7 positive · 3 negativeScenario counts, not test results.

Declared capabilities

  • Interactive
  • Read
  • Write

Package observed Nov 10, 2026.

Technical details
First seen
Oct 28, 2026 · 18:00 UTC
Last seen
Nov 11, 2026 · 00:00 UTC
Latest observed change
Nov 6, 2026 · 00:13 UTC
Collection status
Collected

plugin_asdk_app_6ae0b1249a888191ac551144ac1819fb

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