---

name: foundry description: Self-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skills homepage: https://getfoundry.app user-invocable: true metadata: {"openclaw":{"requires":{"bins":["node"]},"repository":"github:lekt9/openclaw-foundry"}}

Foundry

The forge that forges itself. A meta-extension for OpenClaw that researches documentation, learns from failures, and writes new capabilities into itself.

Installation

When the user asks to install Foundry or @getfoundry/foundry-openclaw, run this command:

openclaw plugins install @getfoundry/foundry-openclaw

This will:

1. Download the plugin from npm
2. Extract to ~/.openclaw/extensions/foundry/
3. Enable it automatically
4. Restart the gateway to load

After installation, the user will have access to all Foundry tools like foundry_research, foundry_write_extension, etc.

Alternative: Manual Config

Add to ~/.openclaw/openclaw.json:

{
  "plugins": {
    "entries": {
      "foundry": { "enabled": true }
    }
  }
}

Configuration

Full configuration options in ~/.openclaw/openclaw.json:

{
  "plugins": {
    "entries": {
      "foundry": {
        "enabled": true,
        "source": "github:lekt9/openclaw-foundry",
        "config": {
          "autoLearn": true,
          "sources": {
            "docs": true,
            "experience": true,
            "arxiv": true,
            "github": true
          },
          "marketplace": {
            "autoPublish": false
          }
        }
      }
    }
  }
}

Config Options

Option	Type	Default	Description
autoLearn	boolean	true	Learn from agent activity automatically
sources.docs	boolean	true	Learn from OpenClaw documentation
sources.experience	boolean	true	Learn from own successes/failures
sources.arxiv	boolean	true	Learn from arXiv papers
sources.github	boolean	true	Learn from GitHub repos
marketplace.autoPublish	boolean	false	Auto-publish high-value patterns

What Foundry Does

Foundry is an AI-powered development agent that can:

1. Research — Fetch and understand OpenClaw documentation on demand
2. Write Extensions — Generate new tools and hooks for OpenClaw
3. Write Skills — Create ClawHub-compatible skill packages
4. Self-Modify — Add new capabilities to itself
5. Learn — Record patterns from failures and successes

Tools

Research & Documentation

Tool	Description
foundry_research	Search docs.openclaw.ai for best practices
foundry_docs	Read specific documentation pages

Writing Capabilities

Tool	Description
foundry_implement	Research + implement a capability end-to-end
foundry_write_extension	Write a new OpenClaw extension
foundry_write_skill	Write an AgentSkills-compatible skill
foundry_write_browser_skill	Write a browser automation skill
foundry_write_hook	Write a standalone hook
foundry_add_tool	Add a tool to an existing extension
foundry_add_hook	Add a hook to an existing extension

Self-Modification

Tool	Description
foundry_extend_self	Add new capability to Foundry itself
foundry_learnings	View learned patterns and insights
foundry_list	List all written artifacts

Marketplace

Tool	Description
foundry_publish_ability	Publish pattern/skill to Foundry Marketplace
foundry_marketplace	Search, browse, and install community abilities

Usage Examples

Research before implementing

User: I want to add a webhook to my extension

Agent: Let me research webhook patterns first...
→ foundry_research query="webhook hooks automation"
→ Returns relevant documentation

Now I'll implement it...
→ foundry_add_hook extensionId="my-ext" event="webhook:incoming" ...

Write a new extension

User: Create an extension that monitors GitHub PRs

Agent:
→ foundry_research query="github api webhooks"
→ foundry_write_extension
    id: "github-monitor"
    name: "GitHub Monitor"
    tools: [{ name: "check_prs", ... }]
    hooks: [{ event: "cron:hourly", ... }]

Self-improvement

User: Add a tool that can fetch npm package info

Agent:
→ foundry_extend_self
    action: "add_tool"
    toolName: "foundry_npm_info"
    toolCode: "const res = await fetch(`https://registry.npmjs.org/${p.package}`)..."

How Learning Works

Foundry observes its own tool calls and learns:

1. Failures → Records error + context
2. Resolutions → Links fix to failure → Creates pattern
3. Patterns → Injected as context in future conversations
4. Crystallization → High-value patterns become permanent capabilities

Security

Foundry validates all generated code before deployment:

• Blocked: child_process, eval, ~/.ssh, ~/.aws
• Sandboxed: Extensions tested in isolated process before installation
• Reviewed: You approve before any code is written to disk

Links

• GitHub
• Foundry Marketplace