Mimir AIP Platform
A modular, plugin-driven pipeline framework for automating data processing, AI/LLM tasks, and report generation. Designed for extensibility, robust error handling, and flexible testing.
Modular Pipelines
Define and run complex data and AI workflows using YAML-based pipelines and a flexible plugin system.
Plugin Ecosystem
Easily extend the platform with custom plugins for AI models, data processing, input/output, and more.
Robust Testing
Test mode with mock responses, strict error handling, and automatic cleanup for reliable development.
Open & Extensible
Open-source, designed for collaboration, and ready for integration with your data and AI stack.
How It Works
Mimir AIP enables you to easily create and manage complex automated pipelines without writing extensive code. Simply define your workflow in YAML, leverage existing plugins or create custom ones, and let the platform handle the execution.
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1
Define Your Pipeline
Create YAML definitions that specify your workflow steps, data sources, and outputs.
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2
Select or Create Plugins
Use built-in plugins or develop custom ones for your specific needs.
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3
Execute and Monitor
Run your pipeline and get results with comprehensive logging and error handling.
- name: "Article Analysis Pipeline"
steps:
- name: "Fetch BBC News Articles"
plugin: "WebScraper"
config:
url: "https://www.bbc.co.uk/news"
selector: ".gs-c-promo-heading"
output: "articles"
- name: "Extract Key Topics"
plugin: "LLMFunction"
config:
prompt: "Identify key topics in: {articles}"
model: "openrouter/mistral-7b"
output: "topics"
- name: "Generate Report"
plugin: "ReportGenerator"
config:
template: "news_summary.md"
data:
articles: "{articles}"
topics: "{topics}"
output: "final_report"Use Cases
Mimir AIP can streamline various workflows across different domains
Content Processing
Automatically scrape, analyze, and summarize news articles, research papers, or reports using AI.
Data Analysis
Process datasets, extract insights, and generate visualizations with minimal manual intervention.
AI Orchestration
Chain multiple AI models together to solve complex tasks requiring different capabilities.