When to use

Call directory::registry::workers::info to pull the FULL published metadata for one worker from the public registry: worker envelope (name, description, version, repo, author), readme markdown, the API reference (functions + triggers with schemas), and the list of skill / prompt files the bundle ships.

This is the REMOTE counterpart to directory::engine::workers::info. Both responses wrap the worker payload in a top-level worker field, and the core fields (name, description, version) are guaranteed on both surfaces so a parser that touches only those keys works against either; everything else is surface-specific (registry adds repo / author plus the top-level readme, api_reference, skills_tree, directory adds runtime/connection state).

Inputs

{
  "name":    "agent-memory",  // required, non-empty
  "version": "1.2.3",         // optional, mutually exclusive with `tag`
  "tag":     "latest"         // optional, defaults to "latest" when neither version nor tag is given
}

You may pass either version or tag, not both. With neither, the worker info defaults to tag: "latest".

Outputs

{
  "worker": {                                          // same shape as directory::registry::workers::list rows
    "name":        "agent-memory",                     // shared core field with directory::engine::workers::info.worker
    "description": "Persistent memory tier for agents.", // shared core field
    "version":     "1.2.3",                            // shared core field (the resolved version)
    "repo":        "https://github.com/iii-hq/workers",
    "author":      { "name": "iii", "is_verified": true }
  },
  "readme": "# agent-memory\n\nDocs here.",            // optional; null if registry omits it
  "api_reference": {
    "functions": [
      {
        "name":            "observe",
        "description":     "Record an event.",
        "request_schema":  { "type": "object", "...": "..." },
        "response_schema": { "type": "object", "...": "..." },
        "metadata":        null
      }
    ],
    "triggers": [
      {
        "name":              "on-change",
        "description":       "Fires when memory changes.",
        "invocation_schema": { "type": "object", "...": "..." },
        "return_schema":     { "type": "object", "...": "..." },
        "metadata":          null
      }
    ]
  },
  "skills_tree": {
    "skills":  [ { "path": "index.md" }, { "path": "agent-memory/observe.md" } ],
    "prompts": [ { "name": "summarize", "description": "Summarize a session." } ]
  }
}

Caching

Each unique (name, version|tag) pair is cached for registry_cache_ttl_ms (default 60s). Repeat calls within the TTL window don't hit the registry — they return the same response from in-process memory. To bust the cache, wait out the TTL or call with a different version/tag.

Worked example

Latest published metadata for agent-memory:

{ "name": "agent-memory" }

Pin to an exact version:

{ "name": "agent-memory", "version": "1.2.3" }

Related

• directory::registry::workers::list — discover the worker name first.
• directory::engine::workers::info — same worker envelope against the connected engine.
• directory::skills::download — install the worker's skill bundle locally (uses the same registry under the hood).