Smartgpt

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SmartGPT is an AI Agents & Automation tool that enables LLMs to complete complex tasks autonomously. It breaks down problems, gathers information using plugins, and works with GPT-3.5 and GPT-4.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is smartgpt?

SmartGPT is an experimental program designed to empower Large Language Models (LLMs), specifically GPT-3.5 and GPT-4, to tackle complex tasks without direct user intervention. It achieves this by intelligently breaking down large problems into smaller, manageable sub-problems and leveraging a robust plugin system to gather information from the internet and other external sources. The tool emphasizes modularity, allowing users to compose 'Autos' for various project requirements, and flexibility through a single, configurable `config.yml` file. While still in its early stages, SmartGPT aims for consistency in results through dynamic action execution and static tool-chaining, offering an innovative approach to autonomous AI task completion.

Best used for

Ideal for developers and researchers who need to build and experiment with autonomous AI agents, automate multi-step processes, and integrate external tools with LLMs. Especially valuable for those looking to push the boundaries of LLM capabilities in a modular and flexible environment.

Common actions

automate complex tasks

integrate LLM plugins

manage AI memory

develop autonomous agents

open-sourceworkflowslow-code/no-codecollaborationautomated workflow"AI Agents"face swappinggithub copilotdeepfake

Capabilities

Key features

Breaks down complex tasks
Plugin support
Configurable settings
Dynamic agent execution
Static agent tool-chaining
Long-term memory management

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the main differences between SmartGPT and AutoGPT or BabyAGI?

SmartGPT emphasizes modularity with first-class plugin support and configurable 'Autos,' offering greater flexibility. While AutoGPT is more polished with a larger ecosystem and better memory systems, SmartGPT focuses on innovative ideas and experiments in autonomous task completion, albeit with less stability.

How does SmartGPT manage memory for its agents?

After completing a task, agents save observations into long-term memory. When starting a new task, SmartGPT pulls relevant long-term memories using a VectorDB, allowing agents to leverage past experiences and information for improved performance.

What are 'Autos' in SmartGPT and how do they work?

Autos are the building blocks of SmartGPT, comprising Runners and Assistants. Runners complete single tasks, while Assistants can engage in conversations. Both types utilize an agent with a Dynamic Agent for reasoning and decision-making, and a Static Agent for executing actions and managing tools.

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