Quick Summary
MetaGPT
A multi-agent AI framework designed for task execution, collaboration, and decision-making with a role-based workflow and SOP-driven task management.
Rating:
3.8/5
Gorilla
An AI assistant enabling large language models (LLMs) to accurately invoke APIs through semantic and syntactic natural language queries.
Rating:
3.7/5
Tool Overview
2nd
MetaGPT
AI Agent
1st
Gorilla
AI Assistant
Features
Features
| Feature | Gorilla | MetaGPT |
|---|---|---|
| Subtype | Web App | Web App |
| Recommendation | Ignore | Ignore |
| API Invocation | Enables LLMs to invoke over 1,600 APIs accurately | — |
| Semantic Matching | Ensures API calls are semantically and syntactically correct | — |
| Reduced Hallucination | Minimizes LLM-generated errors in API usage | — |
| APIBench Integration | Leverages the APIBench dataset for extensive API training | — |
| Scalable API Store | Supports an ever-growing collection of APIs | — |
| Role-Based System | — | Assigns roles such as Product Manager, Architect, Engineer for task clarity |
| Standardized Operating Procedures (SOPs) | — | Guides tasks into manageable subtasks for efficiency |
| Executable Feedback Mechanism | — | Continuous verification and debugging during runtime |
| Knowledge Sharing | — | Promotes collaboration and avoids duplication of work |
| Collaborative Software Engineering | — | Enables team-based workflows and structured development |
| Benchmark Performance | — | Validated against HumanEval and MBPP benchmarks |
Pricing
Pricing Plans
| Plan | Gorilla | MetaGPT |
|---|---|---|
| Free | $0 Basic API invocation capabilities | $0 Basic multi-agent collaborative workflows |
| Pro | $18/month Enhanced API matching and lower latency | $30/month Enhanced performance and task division |
| Enterprise | Custom Scalable deployment with enterprise-level API integration | Custom Scalable deployment and enterprise-level support |
Pros & Cons
MetaGPT
Pros
- •Structured workflows with role-based systems
- •Scalable across collaborative engineering tasks
- •Continuous runtime verification and debugging
Cons
- •Limited flexibility for highly intricate tasks
- •Frequent updates required for accuracy
- •Still in the early stages of development
Gorilla
Pros
- •Accurate API invocation through LLMs
- •Minimized API call hallucinations
- •Extensive APIBench dataset integration
Cons
- •Requires precise natural language input for accuracy
- •Limited flexibility for uncommon APIs
- •Early-stage product with ongoing refinements
Our Recommendation
Based on the comparison above, we recommend Gorilla for most users because:
- Best overall feature set
- Competitive pricing
- Strong user ratings