—— Secure Vibe Assembly · Agentic Age

FREE OPEN BUILDING BLOCKS FOR THE AGENTIC AGE.

Vibe Assembly used pre-approved agentic building blocks to secure your agents at the supply-chain and build levels. This complements secure run-time approaches like NemoClaw OpenShell and visual orchestrators.
—— The Assembly Model

Why Assembly Wins

You wouldn't build a custom screen, hard drive, motherboard, or battery for your laptop. You use proven, off-the-shelf components. The Agentic Era is no different.
The Assembly Philosophy
Just as cars and computers are built from large-grain components that are tested and proven, the Agentic Era runs on components — not one-off code.
The Problem
Unbridled "vibe coding" — letting agents write unpredictable, one-off scripts — is inefficient, untrustworthy, and an enterprise security nightmare.
The Solution
Agents are perfect for assembling components, but they need a reliable toolbelt. We provide the large-grain, functional agentic building blocks that make assembly safe and 270× faster.
• Coming Soon — The Central Hub for Agentic Discovery
—— ComponentCatalog · VALIDATED, TRUSTED AGENTIC BUILDING BLOCKS

THE CENTRAL HUB FOR AGENTIC DISCOVERY

Help us assemble the world’s largest repository of agentic building blocks for use by humans and agents.
Can't find it? Use ComponentFactory to build it on the fly — in minutes — and share it with the community.
Build On-the-Fly
—— ComponentFactory · COMPONENTS FOR ANY TOOL

CUSTOM AGENTIC BUILDING BLOCKS IN MINUTES

Create any component in minutes, or even better extend a tested and proven component for optimal results. Reduce fix cycles and build better agents.
1
Define
Simply describe your component in English. You can also load a spec, library, design, whatever you have.
2
Transcode
ComponentFactory builds your component for your selected orchestration tool (see below).
3
Harden
Every component is validated against Pydantic schemas. Tested, proven, and trustworthy — zero surprises in production.
bash — cf
$ cf 'Create a web search tool that uses DuckDuckGo' --platform dify,autogen,airflow
—— ENTERPRISE-READY AGENTIC SOLUTIONS

SECURING THE AGENTIC SUPPLY-CHAIN & BUILDS

Build a curated whitelisted collection of components for agentic assembly; embrace agentic AI while protecting your company.
SECURE
SSO-DRIVEN
POLICY
AI GOVERNANCE
PROVENANCE
TRACKING
1. Evaluate
Identify functional agentic building blocks in the open ComponentCatalog. Audit scope, permissions, and dependencies before approval.
2. Compliance
2. COMPLIANCE
Use ComponentFactory to ensure the component is compliant with your security policy via constraint of function, e.g. read-only rights.
3. Identity-Aware SSO
Integrate your enterprise directory via Single Sign-On. Components restrict functionality based on the rights of the human operator or agent identity.
4. Approved Repository
Assemble an approved repository of whitelisted components, securing your agents from the supply-chain through the build process.
—— For Agents · Autonomous Discovery

BUILT FOR AGENTS, HUMANS, & AI MODELS

Built from the ground up to support humans and AI. In addition to a powerful UI, we provide APIs, MCP, markdown (*.md) files, and even OpenClaw/NemoClaw skills files, to get the most out of our tools.
CLI Components
Optimized shell-native components engineered for 10X less compute than MCP connections. Ideal for high-frequency agent tasks and edge deployments.
MCP Servers
Model Context Protocol servers seamlessly connecting agents to enterprise data sources, tools, and services with built-in authentication.
Markdown Discovery
Every component, every page, every spec is exposed at a clean .md endpoint. AI agents can self-assemble entire subagent pipelines autonomously.
—— Community · Common Questions

FREQUENTLY ASKED QUESTIONS.

Yes, AI will write a ton of code, our initial components are all written by AI using the ComponentFactory.

But software isn’t just code, it’s the embodiment of the cumulative experience of all of its users. Each time software fails, or bumps into some corner case, or users provide feedback or suggestions, all of that experience gets baked back into the component making it better for all future users. Our ComponentFactory builds quickly, but the community makes it reliable, bug free, & secure.

Software developers NEVER truly start from scratch. They don’t build an agent by writing the BIOS → OS → DBs → libraries → frameworks → components → agent. They build on top of a software “stack” that frees them from all of that work. AI models are no different, they would rather assemble battle-tested components than build everything from the bottom up.

The problems arise when the higher-level components don’t quite address your needs. ComponentFactory solves this problem by building just-in-time components. These can be forked from proven components or completely new. These new components may require a code review and fix cycle, but then you can reuse them a thousand times, worry-free. Code reuse is a pseudo-religious mantra of software developers because it results in faster, more reliable code with fewer surprises. ComponentFactory is the engine for building the first version of new components, but our community turns them into the dependable building blocks powering the Agentic Age.

Both the ComponentCatalog (our growing library of increasingly validated, battle-tested components) and ComponentFactory (the tool to extend existing components or spin up new custom ones on the fly) are completely free to use.

  • Browse the catalog, fork, download and use any component? Free.
  • Extend a battle-tested one or create a brand-new custom component? Free.

Tokens cost money (because AI inference isn't free), so you'll need to bring your own model API key (OpenAI, Anthropic, Grok, etc.). Sadly, we do not get a piece of that sweet cash.

Want us to host ComponentFactory for you (cloud version, no local setup, always-on, managed updates)? That adds real costs on our end, so we charge a straightforward $9.95/month.

But if you prefer zero ongoing fees, just run ComponentFactory locally on your own computer—it's 100% free forever.
Bottom line: Core tools = free. Hosting convenience = small flat fee. We're here to help devs ship faster, not to gatekeep with pricing walls.

Your ability to generate income is core to why this ecosystem grows, we’re all-in on helping you turn skills into cash. Here are the main (and expanding) ways:

  1. Sell Custom Components Build specialized, high-value components with Component Factory (free locally) and sell them directly: one-time licenses, subscriptions, or custom deals. Leverage battle-tested bases to create premium solutions fast and charge accordingly.
  2. Build Your Profile & Land Paid Work Contribute quality components, rack up badges and Progeny credits, grow visibility in the catalog, and Your profile on the catalog becomes a magnet for business. Turn that presence into gigs for:
    • Custom agent development
    • Component troubleshooting & validation
    • Forking/extending for client needs
    • Agent architecture consulting
  3. Run Your Own Agent-Building Agency Use free tools + plug-and-play OpenClaw integration to power an independent business. Build/deploy/maintain agents-as-a-service at scale—automate backends, charge retainers, project fees, or outcome-based pricing. Deep domain expertise (finance, healthcare, logistics, etc.) can make this highly profitable.
  4. Earn from Sponsored Sprints (not until we have critical mass, but very cool) Software companies (e.g., Oracle) might sponsor focused one-month sprints to accelerate building and verifying components for their product(s). Example: They donate $20,000 and our community goes hard for 30 days building, testing, fixing, and validating components tailored to their ecosystem. The full prize pool gets distributed based on clear, merit-based criteria:
    • Total activity points earned (contributions, fixes, tests)
    • Judged awards like “Best New Component for X”
    • Other impact metrics (e.g., most adopted fork, highest validation quorum) These sprints need critical mass to launch, but we’re actively planning and super pumped about them—real money flowing directly to top contributors.

We’re constantly scheming more ways to help you monetize:

  • Potential premium marketplace for valuable custom components (balancing it carefully with the free community model)
  • Affiliate/rev-share ideas for high-impact contributors
  • Tools for packaging & selling “agent blueprints” built on catalog components

ComponentCatalog is your launchpad: contribute, fork, build rep, participate in sprints, and turn AI agent expertise into revenue streams. We win when you win.

Yes—absolutely, and we built it that way on purpose.

We expect most agents will actually be "subagents" (assembled and orchestrated by a higher-level agent), so we made everything super agent-friendly from day one:

  • Clean APIs for programmatic access
  • Markdown files for easy parsing and documentation
  • Command Line Interfaces (CLIs) so agents can call them directly like any other tool

We went the extra mile for OpenClaw (and its forks/derivatives): we created a ready-to-go skills file that makes ComponentCatalog and ComponentFactory plug-and-play. Drop it in, and your OpenClaw can browse the catalog, extend components, spin up new ones, and build agents—all autonomously.

If you're running OpenClaw to earn money by creating agents-as-a-service, we're 100% here for it. Use our free tools to crank out faster, more stable agents and charge whatever the market will pay.

Bottom line: Your agent isn't just allowed to use this stuff—it's designed to thrive with it.

Ideally, no—and that's by design.

Start with any component in the catalog that does most of what you need, then use Component Factory to fork it and tweak only the parts that matter.

  • Change just 10%? You inherit 90% battle-tested, community-validated capability right out of the gate.
  • The core logic, edge-case handling, and stability come along for free.

You might still hit a small fix cycle on your custom bits, but it's way smaller than building from scratch—no reinventing the wheel, no massive debugging debt.

This is classic software wisdom: fork > rewrite. Extend proven foundations instead of starting over. Your agent gets exactly what it needs, faster, more reliably, and with far fewer "why is this breaking now?" moments. A friend once shared the following coder wisdom: “Coders are judged not on the code they write, but on the code they don’t have to write.”

Component Factory makes forking/extending dead simple and free (or $9.95/mo if you want us to host it).

Build smarter, not harder.

Easy—just check the badges displayed on each component in the catalog. They tell the full story at a glance.

Here’s how validation levels stack up:

  • Core Testing — We run automated code tests on every component before it hits the catalog, no badge for this, but being in the catalog means it passed these tests.
  • Automated Real-World Testing — We use tools like OpenClaw to simulate real scenarios and harden them further.
  • Community Validation (the real strength) — Actual users test, report fixes, and update the component. Once a quorum of testers agrees it works reliably in production, it earns the “User Validated” badge. Every fix improves it for everyone.
  • Sponsoring Company Validation (for integrations) — If it’s an integration with another product (e.g., Dify, Stripe, Oracle), the company behind that product can sponsor and officially validate it—adding serious credibility.
  • Manual Certification (top tier) — Our team does hands-on manual review and testing for the final stamp of approval.

Honestly? The community + sponsoring company validation often proves a component is truly bullet-proof—because thousands of real deployments beat any lab test.

Progeny View — Every component page also shows a Progeny section: this displays the full family tree of forks, extensions, and derivatives. You can see:

  • Which components it was forked from (its ancestors)
  • All the child components that forked from it
  • The associated people (contributors, validators, fixers) who touched each version in the lineage

This transparency lets you trace exactly how battle-tested a component really is, follow the family tree to see how many real-world improvements and eyes have been on it over time.

Security note: To keep the catalog clean and reputable, contributors who want to publish or update components must verify their identity with uploaded ID. No ID needed if you’re just using components, only if you’re contributing, to maintain trust and quality.

Badges + Progeny make it crystal clear: more badges, deeper family tree, stronger contributors = more reliable. Pick wisely and ship faster, safer.

We’re actively expanding support because the more orchestrators we cover, the more devs (and agents) can benefit. Our prioritization is driven by:

  • Total installed base — How many people/teams are already using it?
  • Growth trends — Is it gaining serious traction right now?
  • Community requests — Votes, discussions, and direct asks from you all carry real weight.

If your favorite orchestrator isn’t on the list yet, tell us!

  • Drop a note in the community or email us at support@componentfactory.ai.
  • Explain why you love it—what makes it powerful, fast, or unique for agent building?
  • If you’re a highly ranked community member (badges, contributions, Progeny impact, sponsored sprint wins, etc.), your recommendation carries extra weight—we know you’ve battle-tested a lot of tools.

Even if we don’t add native support immediately, many orchestrators can still use our components via:

  • Standard APIs
  • Markdown/JSON exports
  • CLI calls (agents love scripting these)

Worst case: fork an existing integration component and extend it yourself in Component Factory (free locally)—it’s designed exactly for this kind of “my tool needs a little custom glue” scenario.

We want ComponentCatalog to be the neutral, battle-tested foundation layer that works with whatever orchestrator wins your heart. Keep the requests coming—we’re motivated by what actually moves the needle for builders like you.

Got a tool you think we should prioritize? Hit us up.

A Component in our catalog is a self-contained, reusable building block designed for AI agents and workflows. It might be a discrete function, API call, integration, MCP server, whatever. It’s structured in four clear layers to make it powerful, portable, and future-proof:

  1. Logic Layer (the brains) The actual executable code—wrapped as a clean function or integration. Written in:
      • Python (most common)
      • Node.js
      • JavaScript

    This is where the real work happens: API calls, data processing, custom logic, tool usage, etc. It’s battle-tested through community use and fixes.

  2. Metadata Layer (the documentation & contract) Everything an agent (or human) needs to understand and use it safely:

    • YAML-based Component Spec / DSL
    • Defined Inputs & Outputs (schema, types, required/optional)
    • Dependencies (libraries, APIs, models)
    • Use cases & examples
    • Provenance (who created it, forks, validation history, Progeny tree links) This layer enables auto-discovery, validation, and safe orchestration.
  3. Interface Layer (the plug-and-play adapters) Pre-built packaging so the component drops right into your favorite tools without friction:
        • n8n nodes
        • Dify / Langflow / Flowise integrations
        • Zapier-style actions (where applicable)
        • LangGraph / CrewAI tool definitions
        • CLI wrappers (for agent scripting)
        • OpenClaw skills file (plug-and-play ready) More orchestrators coming based on community demand—fork/extend if yours isn’t there yet.
  4. Enterprise Governance / Security Layer (coming soon) Advanced controls for production use:
          • Audit logs & lineage tracking
          • Role-based access
          • Secrets management
          • Compliance checks (SOC 2, GDPR hooks)
          • Runtime sandboxing options Designed for teams and companies that need enterprise-grade trust without sacrificing speed.

Together, these layers turn a simple function into a reliable, discoverable, interoperable, and evolvable asset—one that agents can assemble, fork, validate, and monetize. The goal: ship agents faster with far less custom glue code.

Want to see a real component breakdown? Browse the catalog or fork your first one.

In our system (and in modern AI agent / workflow tooling), a component and a container serve very different purposes—think "lego brick" vs "shipping box that holds multiple bricks."

Here's the clear breakdown:

  • Component (what we provide in ComponentCatalog): A lightweight, focused, reusable building block centered on specific functionality.
    • It's primarily the Logic Layer (wrapped Python/Node/JS function or integration) + rich Metadata (YAML spec, inputs/outputs, dependencies, provenance, use cases) + Interface Layer (adapters for n8n, Dify, OpenClaw, CLI, etc.).
    • Designed for composition: Agents/subagents plug it in as a tool, skill, node, or sub-function.
    • Emphasizes reusability, validation, forking/extending, and community hardening.
    • Small scope: Does one job well (e.g., "fetch weather API", "parse PDF", "call Stripe").
    • No runtime environment bundling—runs in whatever orchestrator or agent host calls it.
  • Container (common term in dev/DevOps, e.g., Docker): A full, isolated runtime environment package.
    • Bundles code + all dependencies + libraries + OS-level bits (minimal filesystem, runtime, configs) so the app runs identically anywhere.
    • Focuses on deployment consistency, isolation, portability, and scaling (e.g., run the same microservice on laptop, Kubernetes, cloud).
    • Often wraps entire services/apps (or groups of them), not fine-grained functions.
    • Heavier footprint than a component; great for deploying orchestrators themselves (e.g., self-host n8n or CrewAI in a container), but overkill for individual agent tools.

In short:

Use components to build better, faster agents by assembling validated building blocks (fork one, tweak 10%, inherit 90% battle-tested goodness).

Use containers when you need to package and deploy an entire app, orchestrator, or service reliably across environments.

They complement each other: Run your agent orchestrator in a container, then feed it our lightweight components as tools/skills.

Components and OpenClaw skills complement each other.

  • A Component provides validated logic (Python/Node/JS), rich metadata (YAML spec, inputs/outputs), and adapters (API, CLI, markdown).
  • An OpenClaw skill is a loadable package (SKILL.md + resources) that teaches OpenClaw new tools or workflows.

Examples:

We created an OpenClaw skills file that teaches OpenClaw (or forks) how to search the ComponentCatalog, find, and use components in building subagents. It can also operate the ComponentFactory to fork existing components, or create new ones. This component generation can be done on the fly, enabling OpenClaw to add that missing functionality to make your subagent do exactly what you need. In short, it enables your OpenClaw to operate ComponentCatalog and ComponentFactory autonomously, turning it into a super-powered subagent builder.

Both power AI agents with external capabilities, but differ in depth and ecosystem.

  • LangChain Tools: Lightweight Python functions with simple schema for LLM calling. Ideal for fast prototyping in LangChain/LangGraph—prebuilts (search, APIs) + easy customs.
  • ComponentCatalog Components: Richer four-layer blocks (Logic code + YAML metadata + multi-tool adapters + upcoming enterprise security). Emphasize community validation, forking/extending (inherit 90% battle-tested), Progeny traceability, and broad portability.

Key advantages & integrations:

  • Components plug directly into LangGraph (via adapters or wrapped as custom tools) for graph-based agent workflows.
  • You can extend any component to add observability compatible with LangSmith (e.g., wrap the Logic Layer with LangSmith tracing decorators or callbacks)—so you get full run visibility, debugging, and cost tracking even when using our validated, community-hardened pieces.

Quick Comparison:

  • Granularity: LangChain = single function; Components = fuller unit with metadata + adapters.
  • Validation: LangChain = dev tests; Components = automated + community + sponsors.
  • Interoperability: LangChain = strong in its world; Components = cross-tool (including LangGraph, n8n, OpenClaw, etc.).
  • Best For: LangChain = quick LangChain agents; Components = stable, reusable foundation + monetization + LangSmith observability.

They complement perfectly: Use components as battle-tested building blocks inside LangGraph agents, then trace everything in LangSmith.

Yes—that's exactly why we built them this way.

Components are designed as a neutral, foundational layer that works across orchestrators, so teams like yours can mix and match tools without rewriting logic every time. The only difference is in the Interface Layer, which is custom to each tool. So if a component already has a version in your tool you simply use it. If it doesn’t, you simply transcompile in ComponentFactory, which means build for the target tool. It inherits the battle tested foundation, but you’ll want to test and validate it on your tool. The best part is every time the component is validated on a new tool it gets better for other tools.

Bottom line: One validated, battle-tested component → reusable across your entire stack. No silos, less duplication, faster iteration.

Using multiple orchestrators already? Tell us which ones—let's get them on the roadmap.

JOIN THE
ASSEMBLY
REVOLUTION

We're building the world standard for the Agentic Age. Come help define it.
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