Npcpy

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npcpy is an AI Agents & Automation tool that provides a flexible agent framework for building AI applications and conducting research with LLMs. It supports local and cloud providers, multi-agent teams, and tool calling.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is npcpy?

npcpy is a comprehensive Python library designed for research and development in NLP, multimodal LLMs, Agents, ML, and Knowledge Graphs. It offers a flexible agent framework that supports both local and cloud providers, enabling users to build sophisticated AI applications. Key capabilities include multi-agent team orchestration, tool calling, and advanced functionalities like image, audio, and video generation. The library also facilitates knowledge graph integration and fine-tuning of models, making it a versatile solution for developers and researchers working with diverse AI technologies. It provides quick examples for creating personas, direct LLM calls, agent with tools, streaming, JSON output, and Pydantic structured output.

Best used for

Ideal for AI developers and researchers who need to build complex AI applications, conduct experiments with LLMs, and integrate various AI capabilities. Especially valuable for creating multi-agent systems, leveraging diverse tools, and generating multimodal outputs like images, audio, and video within a unified Python framework.

Common actions

build AI applications

conduct LLM research

orchestrate multi-agent workflows

integrate custom tools

generate multimodal content

automated workflowcollaborationworkflowsopen-sourcelow-code/no-codedeepfakegithub copilotface swapping"AI Agents"

Capabilities

Key features

Flexible agent framework
Multi-agent teams
Tool calling
Image/audio/video generation
Knowledge graphs
Local/cloud provider support
Model fine-tuning

Target Audience

ai/ml researcherspython developersdata scientistsnlp engineers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of AI models and providers does npcpy support?

npcpy supports a wide range of LLMs and providers, including local models via Ollama and cloud-based services like Gemini and OpenAI. This flexibility allows users to choose the best model and infrastructure for their specific research or application needs, from small local models to powerful cloud-based solutions.

Can npcpy be used to create custom tools for agents?

Yes, npcpy allows users to define and integrate their own custom tools alongside default ones. The ToolAgent class enables developers to add Python functions as tools, which agents can then utilize to perform specific actions, such as running tests, querying databases, or interacting with external APIs.

How does npcpy handle multi-agent orchestration?

npcpy provides robust capabilities for orchestrating multi-agent teams. Users can define agents with specific roles and directives, either in code or via configuration files. The framework supports delegation between agents and allows for the integration of shared context and external tools through MCP servers, facilitating complex collaborative tasks.

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Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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Also listed in

This tool also appears in

Content & Design › Audio & Music Research & Education › Academic Research Content & Design › Image Generation Content & Design › Video Generation

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