SmartGPT
by Community
A program that provides LLMs with the ability to complete complex tasks using plugins.
OSS
SmartGPT
Added 1 June 2026
Overview
SmartGPT is an orchestration program that gives LLMs the ability to complete complex tasks through a plugin system. It is written in Rust and coordinates multiple steps, tool calls, and external resources to handle advanced reasoning problems.
Best for
Best for
Developers building custom LLM-based automation pipelines that need reliable orchestration and tool integration.
Use cases
- Building multi-step agent workflows that chain LLM calls with tool integrations
- Automating research or data retrieval tasks that require external API plugins
- Creating custom orchestration pipelines for complex, stateful problem-solving
Notes
SmartGPT is an orchestration program that gives LLMs the ability to complete complex tasks through a plugin system. It is written in Rust and coordinates multiple steps, tool calls, and external resources to handle advanced reasoning problems.
1,737 stars on GitHub. Last updated 2024-04-11. Licensed MIT.
Use cases
- Building multi-step agent workflows that chain LLM calls with tool integrations
- Automating research or data retrieval tasks that require external API plugins
- Creating custom orchestration pipelines for complex, stateful problem-solving
Pros
- Rust implementation offers strong performance and memory safety
- Plugin architecture enables extensibility to diverse external tools
- Designed specifically for multi-step reasoning, not just simple completion
Cons
- Community project may have limited documentation or support
- Rust language barrier for developers more familiar with Python or JavaScript
- Plugin ecosystem is likely still maturing, requiring custom development
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Rust implementation offers strong performance and memory safety
- Plugin architecture enables extensibility to diverse external tools
- Designed specifically for multi-step reasoning, not just simple completion
Cons
- Community project may have limited documentation or support
- Rust language barrier for developers more familiar with Python or JavaScript
- Plugin ecosystem is likely still maturing, requiring custom development
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