Quick Summary

ChatDev

An AI-powered virtual software development agent designed to handle designing, coding, testing, and documentation through collaborative dialogue among software agents.

Rating:
3.7/5

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
ChatDev

ChatDev

AI Agent

1st
Gorilla

Gorilla

AI Assistant

Features

Features

FeatureGorillaChatDev
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
Waterfall Model Workflow
Divides software development into designing, coding, testing, and documenting stages
Software Agent Collaboration
Collaborative dialogues between agents like programmers, testers, and reviewers
Thought Instruction Mechanism
Explicit instructions to avoid code hallucination
Atomic Subtask Division
Breaks tasks into manageable subtasks for efficiency
Cost and Time Efficiency
Completes projects in under 7 minutes at costs below $1

Pricing

Pricing Plans

PlanGorillaChatDev
Free
$0
Basic API invocation capabilities
$0
Basic virtual agent capabilities
Pro
$18/month
Enhanced API matching and lower latency
$22/month
Enhanced team collaboration and scalability
Enterprise
Custom
Scalable deployment with enterprise-level API integration
Custom
Custom workflow optimization and premium support

Pros & Cons

ChatDev

Pros

  • Highly efficient in task breakdown and execution
  • Cost-effective for small-scale projects
  • Streamlined collaboration between virtual agents

Cons

  • Lacks flexibility in non-waterfall workflows
  • Context loss in larger projects
  • Requires human supervision in complex tasks

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