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devin.cursorrules vs agent-network
devin.cursorrules logo
devin.cursorrules
★ 6.0k
vs
agent-network logo
agent-network
★ 30

devin.cursorrules vs agent-network

devin.cursorrules: This project provides a toolkit to supercharge Cursor, Windsurf, or GitHub Copilot with advanced agentic AI capabilities, mimicking Devin's functionality at a fraction of the cost. It enables features like automated planning, extended tool usage, and self-evolution within your existing IDE.; agent-network: Agent Network is a local-first multi-agent collaboration platform that runs entirely on your machine. It provides a unified CLI to manage Hub, Web Dashboard, and multiple agents, supporting various LLM providers and automatic task distribution via MCP tools. Optional LAN sharing is available.

01

TL;DR

devin.cursorrules logoChoose devin.cursorrules if…

Automating data gathering tasks

agent-network logoChoose agent-network if…

Running multiple AI agents locally for collaborative task execution

02

Side-by-Side Comparison

Field
devin.cursorrules logodevin.cursorrules
agent-network logoagent-network
Category
Multi-Agent
Multi-Agent
Stars
★ 6.0k
★ 30
License
MIT
Apache-2.0
Updated
1y ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Agentic AI, IDE Integration, LLM Tools
agent-network, ai-agents, anthropic
03

Features

devin.cursorrules logodevin.cursorrules
01Automated planning and self-evolution
02Extended tool usage (web browsing, search, LLM analysis)
03Multi-agent collaboration (Planner-Executor)
04Easy setup via Cookiecutter or manual copy
05Accumulates project-specific knowledge for smarter iterations
agent-network logoagent-network
01Single CLI for Hub, Dashboard, and Agent runtimes (Claude Code CLI, Claude Agent SDK, Codex SDK)
02Switch between 8 LLM providers (Anthropic, OpenAI, MiniMax, DeepSeek, GLM, Kimi, InternLM, OpenRouter) via ANTHROPIC_BASE_URL
03Local or cross-server mesh network with real-time SSE communication and automatic agent discovery
0417 built-in MCP tools for automatic task delegation between agents without manual orchestration
05Built-in Web Dashboard (Chat, Nodes, Tasks, Messages, Networks, Logs, Admin) with 4 themes
04

Use Cases

devin.cursorrules logodevin.cursorrules
↳Automating data gathering tasks
↳Building quick prototypes and proofs-of-concept
↳Cross-referencing external resources for research and development
agent-network logoagent-network
↳Running multiple AI agents locally for collaborative task execution
↳Deploying agents across multiple servers or workstations connected via a single Hub
↳Unified management and switching between various LLM providers for different agent tasks
05

Best For

devin.cursorrules logodevin.cursorrules
Trending
agent-network logoagent-network
TrendingMulti-Agent
FAQ

FAQ

What is the difference between devin.cursorrules and agent-network?
Both devin.cursorrules and agent-network are in the Multi-Agent category. devin.cursorrules has 6.0k stars, while agent-network has 30 stars.
Which is better, devin.cursorrules or agent-network?
The best choice depends on your use case. Choose devin.cursorrules if Automating data gathering tasks, and agent-network if Running multiple AI agents locally for collaborative task execution.
Is devin.cursorrules free or open source?
Yes, devin.cursorrules is open source on GitHub (MIT).
Is agent-network free or open source?
Yes, agent-network is open source on GitHub (Apache-2.0).
→

Related

Alternatives to devin.cursorrules →Alternatives to agent-network →devin.cursorrules details →agent-network details →
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