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nerve
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nerve

Active·★ 1.3k·GPL3·Updated 2025-08-23
★ Trending

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.

nerve is currently grouped under Observability, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Declarative Agents: Define agents using a clean YAML format including system prompt, task, tools, and variables. and Automating complex tasks with LLMs (e.g., custom chatbots, data processing).. The listed license is GPL3, which is useful when adoption constraints matter. It also shows measurable community traction with 1.3k GitHub stars.

#Agent Development Kit#LLM Agents#YAML Configuration#CLI Tool#Multi-Agent Systems
$ Install
$ pip install nerve-adk
↗ Visit site★ GitHub
01

Features

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.
02

Why choose it

+Declarative Agents: Define agents using a clean YAML format including system prompt, task, tools, and variables.
+Automating complex tasks with LLMs (e.g., custom chatbots, data processing).
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a GPL3 license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

LiteLLM
Native Integration
Verified via docs
OpenAI
Supported
Verified via docs
Anthropic
Supported
Verified via docs
Ollama
Supported
Verified via docs
Multi-Agent Communication Protocol (MCP)
Native
Verified via docs
05

Quick start

1
$ pip install nerve-adk
06

Use cases

↳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.
07

How it compares

≈nerve sits in the Observability category, so it makes more sense to evaluate it alongside tools like worldmonitor instead of in isolation.
≈If your main need is closer to "Automating complex tasks with LLMs (e.g., custom chatbots, data processing).", that use case is a better lens for comparison than broad feature checklists alone.
≈nerve uses a GPL3 license, and community traction are both easier to judge in category context.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 1.3k
Last commit11mo ago
StatusActive
LicenseGPL3
CategoryObservability
Trend (30d)
+0k↑ 4.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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