AgentIndex icon
AgentIndex
LLM-Agents-Papers logo
LLM-Agents-Papers
★ 2.4k
vs
nerve logo
nerve
★ 1.3k

LLM-Agents-Papers vs nerve

LLM-Agents-Papers: This repository provides a comprehensive list of papers focused on Large Language Model (LLM) based agents. It covers various aspects, including enhancement techniques, interaction methods, diverse applications, and underlying infrastructure for LLM agents.; nerve: Nerve is an Agent Development Kit (ADK) that allows technical users to build, run, evaluate, and orchestrate LLM-based agents using declarative YAML configurations and a command-line interface. It emphasizes programmable, auditable, and reproducible automation with support for multi-agent communication and various LLMs.

01

TL;DR

LLM-Agents-Papers logo
LLM-Agents-PapersMulti-Agent · ★ 2.4k

For academic researchers seeking comprehensive paper collections on LLM agents.

Read LLM-Agents-Papers full review →
nerve logo
nerveDev Tooling · ★ 1.3k

Automating complex tasks with LLMs (e.g., custom chatbots, data processing).

Read nerve full review →
02

Side-by-Side Comparison

Field
LLM-Agents-Papers logoLLM-Agents-Papers
nerve logonerve
Category
Multi-Agent
Dev Tooling
Stars
★ 2.4k
★ 1.3k
License
—
GPL3
Install Command
git clone https://github.com/AGI-Edgerunners/LLM-Agents-Papers.git
pip install nerve-adk
Updated
1y ago
1y ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Paper List, AI Research
Agent Development Kit, LLM Agents, YAML Configuration
03

Features

LLM-Agents-Papers logoLLM-Agents-Papers
01Comprehensive survey of LLM agent papers
02Techniques for enhancing LLM agent capabilities
03Methods for agent interaction and collaboration
04Diverse applications of LLM agents in various fields
05Infrastructure and evaluation benchmarks for LLM agents
nerve logonerve
01Declarative Agents: Define agents using a clean YAML format including system prompt, task, tools, and variables.
02Built-in Tools & Extensibility: Utilize shell commands, Python functions, or remote tools, all fully typed and annotated.
03Native MCP Support (Client & Server): The first framework to define MCP servers in YAML, acting as both client and server for deep orchestration.
04Evaluation Mode: Benchmark agents with YAML, Parquet, or folder-based test cases for reproducible tests, structured outputs, and progress tracking.
05Workflows: Compose agents into simple, linear pipelines to create multi-step automations with shared context.
04

Use Cases

LLM-Agents-Papers logoLLM-Agents-Papers
↳For academic researchers seeking comprehensive paper collections on LLM agents.
↳As a learning resource for students and newcomers to the field of AI agents.
↳To guide practitioners in understanding and implementing advanced LLM agent techniques.
nerve logonerve
↳Automating complex tasks with LLMs (e.g., custom chatbots, data processing).
↳Developing and testing multi-agent systems and deep orchestrations.
↳Benchmarking and evaluating LLM agent performance and tracking regressions.
FAQ

FAQ

What is the difference between LLM-Agents-Papers and nerve?
Both LLM-Agents-Papers and nerve are in the Multi-Agent category. LLM-Agents-Papers has 2.4k stars, while nerve has 1.3k stars.
Which is better, LLM-Agents-Papers or nerve?
The best choice depends on your use case. Choose LLM-Agents-Papers if For academic researchers seeking comprehensive paper collections on LLM agents., and nerve if Automating complex tasks with LLMs (e.g., custom chatbots, data processing)..
Is LLM-Agents-Papers free or open source?
Yes, LLM-Agents-Papers is open source on GitHub.
Is nerve free or open source?
Yes, nerve is open source on GitHub (GPL3).
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