Instructor

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 Repository  12,600  977

Getting reliable, validated structured JSON outputs from any LLM

structured-output pydantic extraction validation multi-provider retry type-safe
SDK SDK/Framework Mature Maintained

Key Features

Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted

Community Feedback

Strengths

  • Best-in-class structured output
  • Excellent Pydantic integration
  • Simple API
  • Multi-provider support
  • 3M+ monthly downloads
  • Great documentation

Weaknesses

  • Not a full agent framework
  • Narrow focus on structured outputs
  • Repository moved (confusing)
  • No orchestration/memory/multi-agent

Instructor Details

Organization567 Labs (Jason Liu)
Organization TypeCompany
CategorySDK
SubcategorySingle agent
DeploymentSDK/Framework
Primary LanguagePython
RuntimePython 3.9+
LicenseMIT
Commercial UseUnrestricted
Install Commandpip install instructor
GitHub Stars12,600
GitHub Forks977
Release CadenceWeekly
MaturityMature
Pricing ModelFree
Free TierFully open-source MIT
Self-Hosted FreeYes
Cost Modelfree + LLM costs
Community SizeLarge (12.6k stars, 3M+ downloads)
Community ActivityVery active
SentimentVery positive
GPU RequiredNo
ConfidenceHigh
Research Date2026-03-24
LLM ProvidersOpenAI, Anthropic, Google, Ollama, any provider
API Keys RequiredLLM provider API key

Use Cases

Similar Tools

MarvinInstructor extraction-focused, Marvin extraction + agentic workflows
Pydantic AIInstructor narrow structured output, Pydantic AI full agent framework

When to Use

Best for: Reliable structured data extraction from LLMs

Avoid when: Need full agent orchestration, memory, or multi-agent

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Release v20260324