AgentKit

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AgentKit is a Coding & Development tool that provides an intuitive LLM prompting framework for multifunctional agents. It allows users to construct complex "thought processes" from simple natural language prompts using a graph-based approach.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is AgentKit?

AgentKit offers a unified framework for explicitly constructing complex human "thought processes" from simple natural language prompts. It utilizes a graph-based approach, where users connect nodes like LEGO pieces to design and enforce structured thought processes. This allows for the integration of various functionalities to build multifunctional agents. A basic agent can be implemented as a list of prompts for subtasks, making it accessible for users without programming experience. The framework supports dynamic modification of the Directed Acyclic Graph (DAG) at inference time, enabling advanced capabilities like branching based on LLM responses. AgentKit provides built-in LLM API support for OpenAI, Anthropic, and Ollama models, with options for token usage tracking and error handling.

Best used for

Ideal for developers and data scientists who need to explicitly construct complex AI agent behaviors, design structured LLM thought processes, and integrate various functionalities into multifunctional agents. Especially valuable for those looking to create agents with minimal programming experience through a visual, graph-based approach.

Common actions

engineer LLM prompts

build AI agents

design thought processes

manage LLM workflows

"AI Agents"github copilotface swappingworkflowsdeepfakeopen-sourceautomated workflowcollaborationlow-code/no-code

Capabilities

Key features

Graph-based prompt engineering
Dynamic DAG modification
Built-in LLM API support
Token usage tracking
No-code agent design

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What LLM APIs does AgentKit support?

AgentKit provides built-in support for OpenAI, Anthropic, and Ollama models. To use these, you need to install AgentKit with the appropriate proprietary or all settings and configure environment variables for your API keys and endpoints.

Can I use AgentKit without programming experience?

Yes, AgentKit is designed to allow users to build basic agents by arranging nodes and prompts without extensive coding. The framework emphasizes "flow engineering with graphs, not coding," making it accessible for non-programmers to design and tune agents.

How does AgentKit handle errors during LLM API calls?

By default, AgentKit's LLM_API function catches and retries all API errors. If you encounter a stuck process, you can set `verbose=True` for individual nodes and `LLM_API_FUNCTION.debug=True` to identify the specific error causing the issue.

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Subcategories trending in Coding & Development

Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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