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Nerve
Overview :
Nerve is an LLM tool that enables the creation of stateful agents. Users can define and execute complex tasks without writing code. Through dynamically updated system prompts and state preservation across multiple inference steps, agents can plan and execute tasks progressively. Nerve supports any model accessible through ollama, groq, or the OpenAI API, offering high flexibility and efficiency while prioritizing memory safety.
Target Users :
Nerve is designed for developers and computer experts who need to perform complex tasks without writing code. It simplifies the creation and management of intelligent agents by providing pre-defined agent templates and action libraries, making it suitable for professionals who require rapid prototyping and automation of tasks.
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Use Cases
Create an SSH agent to automatically execute commands on a remote host.
Build a chatbot agent to enable automated conversations between two individuals.
Develop a web vulnerability scanner to automatically identify and report security issues.
Features
Automated Problem Solving: Nerve provides a standard action library, allowing agents to autonomously utilize it for performance enhancement.
User-Defined Agents: Define agents using standard YAML templates, adaptable to any task.
Multi-LLM Support: Nerve is an LLM-agnostic tool, supporting diverse models.
Experimental Tool: API changes may occur frequently; not recommended for production environments or unsupervised use.
Integration with Multiple Models: Specify the use of ollama, groq, or OpenAI's models via the -G parameter.
Rich Examples: Offers various examples, such as SSH agents and chatbots, for user reference and inspiration.
How to Use
1. Select or create a YAML template to define the agent's task and instructions.
2. Integrate a specific LLM model as needed, specifying it via the -G parameter.
3. Define the agent's functional namespace to limit or expand its capabilities.
4. Set system prompts to provide the agent with background information and initial objectives.
5. Configure the agent's function toolbox, specifying available commands and operations.
6. Run Nerve and load the defined agent template to begin task execution.
7. Monitor the agent's execution process and adjust or optimize the task definition as required.
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