The-Swarm-Corporation/AgentParse
AgentParse is a high-performance parsing library designed to map various structured data formats (such as Pydantic models, JSON, YAML, and CSV) into agent-understandable blocks. By leveraging **AgentParse**, engineers can ensure seamless data ingestion for LLM agents, enabling fast and accurate processing of real-world data.
This tool helps engineers building AI agents to quickly and accurately process diverse real-world data. It takes structured information like financial reports, sensor data, or customer profiles in formats such as JSON, YAML, CSV, or Pydantic models. It then transforms this input into 'agent-understandable blocks' so AI agents can immediately use the data for tasks like financial modeling, customer support automation, or real-time decision-making.
No commits in the last 6 months. Available on PyPI.
Use this if you are an AI agent engineer who needs a robust, scalable way to feed clean, validated, and properly structured data from various sources to your LLM agents.
Not ideal if you are a business user without a technical background, as this tool requires programming knowledge to implement and configure.
Stars
18
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 13, 2025
Commits (30d)
0
Dependencies
5
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