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AgentForge

AgentForge

AgentForge

379 92
03 May, 2024
  Python

What is AgentForge ?

AgentForge is a low-code framework tailored for the rapid development, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures. Compatible with a range of LLM models — currently supporting OpenAI, Anthropic’s Claude, and Oobabooga (local) — it offers the flexibility to run different models for different agents based on your specific needs. Whether you’re a newbie looking for a user-friendly entry point or a seasoned developer aiming to build complex cognitive architectures, this framework has you covered. Our database-agnostic framework is designed for seamless extensibility. While ChromaDB is our go-to database, integration with other databases is straight-forward, making it an ideal playground and solid foundation for various AI projects. In summary, AgentForge is your beta-testing ground and future-proof hub for crafting intelligent, model-agnostic, and database-flexible autonomous agents.


AgentForge Features

  • Build Custom Agents And Cognitive Architectures Easily
  • Custom Tools/Actions
  • Customizable Agent Memory Management
  • Default Agents Ready For Use
  • LLM Agnostic Agents (Each Agent can call different LLMs if needed)
  • On-The-Fly Prompt Editing
  • OpenAI & Anthropic API Support
  • Open-Source Model Support (Oobabooga)
  • Rapidly Build & Test Cognitive Architectures (Multi-Agent Scripts)

Coming Soon

  • API Implementation
  • Knowledge Graphs

Install AgentForge

Welcome to the AgentForge framework documentation. This comprehensive guide will support you whether you’re just getting started or diving deep into custom configurations and advanced features. Here, you’ll find detailed insights into the various components that make up our system.

Installation and Usage:

  • Getting Started with AgentForge: Begin your journey with a straightforward setup guide, covering everything from initial installation to launching your first bot.

Core Concepts:

  • Agents: Dive deep into the agents’ world. Learn how they operate, respond, and can be customized.
  • Modules: Explore multi-agent scripts, the hierarchies above agents. Understand how Modules coordinate various agents and manage the flow of information to achieve specific goals.
  • LLM API Integration: Understand how AgentForge connects with various Large Language Model (LLM) APIs.
  • Settings: Delve into directives, memories, models, paths, and storage configurations – the fine-tuned engine settings that keep the system humming.
  • Personas: Add flair to the system’s interactions. Make it more human-like and relatable.
  • Tools & Actions: The system’s utility belt. Understand the tools available and how they can be choreographed into actionable sequences.
  • Utilities: Explore the array of utility functions and tools that supercharge the system’s capabilities. (Note: Documentation not implemented yet)

Note: Our documentation is a living entity, continuously evolving. Some links or features may still be under development. We appreciate your patience and welcome your feedback to improve the documentation.