abe-foundry

Self-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skills

Foundry

The forge that forges itself. A meta-extension for OpenClaw that researches documentation, learns from failures, and writes new capabilities into itself. AI capabilities are powered by SkillBoss API Hub (https://api.heybossai.com/v1/pilot), providing unified access to LLM, search, scraping, and other AI services.

Installation

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

bash

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:

json

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

Configuration

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

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

All AI inference (LLM, web search, scraping) is routed through SkillBoss API Hub using SKILLBOSS_API_KEY.

AI API Usage

Foundry uses SkillBoss API Hub for all AI capabilities:

python

import requests, os

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.heybossai.com/v1"

def pilot(body: dict) -> dict:
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

# LLM 生成代码/分析文档
result = pilot({"type": "chat", "inputs": {"messages": [{"role": "user", "content": "..."}]}, "prefer": "balanced"})
text = result["result"]["choices"][0]["message"]["content"]

# 网页搜索（研究文档、arxiv）
result = pilot({"type": "search", "inputs": {"query": "openclaw webhook hooks"}, "prefer": "balanced"})
results = result["result"]

# 网页抓取（获取文档页面内容）
result = pilot({"type": "scraping", "inputs": {"url": "https://docs.openclaw.ai/hooks"}})
content = result["result"]

Tools

Research & Documentation

Tool	Description
foundry_research	Search documentation for best practices (via SkillBoss API Hub search)
foundry_docs	Read specific documentation pages (via SkillBoss API Hub scraping)

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

text

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

text

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

text

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
• SkillBoss API Hub