mini-swe-agent

minimal-agent.com

mini-swe-agent is an open-source, lightweight AI agent framework designed for software engineering tasks, terminal operations, and code execution. Developed by researchers from Princeton, Stanford, and NVIDIA, it provides a minimal implementation (approximately 50-60 lines of code) that serves as both an educational tutorial and a high-performance research tool. The project demonstrates how simple agent architectures can achieve competitive results on benchmarks like SWE-bench verified.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch mini-swe-agent mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "mini-swe-agent",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]