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Agent Assembler 🧩

The On-Demand Digital Arsenal for the AI Era. Deterministic Context Assembly for Multi-Agent Distribution Network.

v0.2.0 Released PyPI

We don't build the Aircraft Carriers (LLMs); we build the 4S Shop. Agent Assembler is the core engine that powers multi-agent systems, turning non-standard business requirements into standardized, executable AI Agents.


🚀 Why Agent Assembler?

In the current AI landscape, Large Language Models provide immense "intelligence," yet they often fail in critical business scenarios due to a lack of Domain Knowledge and Deterministic Logic.

Feature Traditional SaaS Traditional Outsourcing Agent Assembler
Delivery Rigid, standard accounts Expensive, slow human labor On-demand digital production
Flexibility Low (Roadmap dependent) High (Cost scales linearly) Extreme (Sidecar hot-plugging)
Core Asset Vendor's platform code Client's private code The Recipe Matrix (Industry Wisdom)
Marginal Cost Low (per seat) High (per project) Near Zero (per assembly)

Agent Assembler bridges the gap with a "Recipe + Sidecar" architecture, allowing domain experts to convert tacit industry knowledge into executable digital assets.


🏗️ Core Architecture

1. Micro-kernel + Sidecar Bus

The core soul of the framework — decoupling core logic from auxiliary capabilities for maximum flexibility.

  • 🥘 Pot (The Recipe): Encapsulates essential business logic and data flow (e.g., Profit Calculation, Compliance Check).
  • 🔌 Sidecar Bus (Pluggable Plugins): Capabilities are hot-swappable via a standard bus:
    • 🧠 Decision Engine: Deterministic analysis & "Red-Yellow-Green" verdicts.
    • 🎭 Simulator: Immersive role-play for business negotiation training.
    • 📊 Analytics: Data persistence and visualization pipelines.
  • 🏭 Factory (The Assembler): Orchestrates the "Pots" and "Lids" to assemble and deploy specific Agents.

2. JIT Assembly & Atomic Design

  • Recipe-First: Intent matching against pre-defined JSON recipes.
  • Atomic Skills (<4KB): Focused, composable modules that do one thing well.
  • AutoCraft: Automated generation engine transforming unstructured requirements into deployed scripts with zero-marginal-cost.

3. Multi-Platform Adapters

Deploy assembled Agents to any platform with one click: Qianwen, Coze, WeChat, and more.


🛠️ Installation & Quick Start

pip install agent-assembler
from agent_assembler import Assembler

assembler = Assembler(recipes_dir="./recipes", skills_dir="./skills")
result = assembler.assemble("Analyze this excel file")
print(result['system_prompt'])

🎯 From Sandbox to Matrix

Our architecture is Domain-Agnostic. It works anywhere.

  1. 🧪 The Sandbox (Validation Phase)

    • Validated in high-noise, non-standard environments (e.g., Tier-3/4 city retail & dining markets).
    • Proven: Solves "messy accounts," compliance risks, and performance disputes with "Micro-Deductions" (calculating exact break-even points in seconds).
  2. 🌍 The Matrix (Expansion Phase)

    • Zero Code Change required at the core engine level.
    • Cross-Border E-commerce: Inventory turnover optimization.
    • Manufacturing: Production line yield simulation.
    • Compliance: Automated contract auditing.

🗺️ Roadmap

Phase Goal Status
P0 Core Stabilization & Validation ✅ Done
P1 SDK Decoupling & Standardization 🚧 Active
P2 Multi-Platform Adapters ⬜ Planned
P3 SaaS Dashboard & No-Code Builder ⬜ Planned

🔮 Vision

We are building the Salesforce of the AI Era.

We provide not just tools, but an infrastructure for global developers and industry experts to co-build a Commercial Wisdom Recipe Library.

"The future is already here — it's just not evenly distributed. We are the pipeline builders."


📜 License

Apache 2.0 (Core SDK) / Commercial (Proprietary Recipes)

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