tunnel-client
★ 375
vs
mini-swe-agent
★ 7.3k
tunnel-client vs mini-swe-agent
tunnel-client: `tunnel-client` is a customer-run agent that securely connects private or localhost Model Context Protocol (MCP) servers to OpenAI products like ChatGPT and Codex through an OpenAI-hosted tunnel. It enables secure access for AI models without exposing the MCP server to the public internet, simplifying deployments in restricted network environments.; mini-swe-agent: Mini-SWE-agent is a lightweight, 100-line AI agent designed to solve GitHub issues and more, offering a simplified yet performant alternative to larger coding agents. It focuses on minimalism, high performance on benchmarks like SWE-bench, and easy deployment across various environments.
01
TL;DR
Choose tunnel-client if…Connecting a private or localhost MCP server to OpenAI-hosted products like ChatGPT when public internet access is restricted.
Choose mini-swe-agent if…Researchers for benchmarking, fine-tuning, or RL experiments without bloat
02
Side-by-Side Comparison
03
Features
tunnel-client01Securely connects private or localhost MCP servers to OpenAI products like ChatGPT and Codex.
02Operates as a daemon with health checks, metrics, and an administrative UI for operational visibility.
03Supports flexible MCP server integration via Streamable HTTP, stdio, or in-memory transports.
04Offers an embeddable Go SDK for direct integration into Go applications.
mini-swe-agent01Minimal code (approx. 100 lines of Python)
02High performance (>74% on SWE-bench verified benchmark)
03Easy deployment and sandboxing (Docker, Podman, Singularity)
04Utilizes only Bash tools, avoiding complex tool-calling interfaces
05Linear history for simplified debugging and fine-tuning
04
Use Cases
tunnel-client↳Connecting a private or localhost MCP server to OpenAI-hosted products like ChatGPT when public internet access is restricted.
↳Deploying an operator-visible daemon for an MCP server before connecting it to external APIs, ensuring readiness and observability.
↳Integrating directly into a Go application using the Go SDK to bridge an in-memory MCP server with OpenAI tunnels.
mini-swe-agent↳Researchers for benchmarking, fine-tuning, or RL experiments without bloat
↳Developers who want to own, understand, and modify their AI tools
↳Engineers needing a trivial-to-sandbox and deployable solution anywhere
05
Best For
tunnel-clientEssentialHidden Gem
mini-swe-agentTrendingHidden Gem
FAQ
FAQ
What is the difference between tunnel-client and mini-swe-agent?
Both tunnel-client and mini-swe-agent are in the LLM Infra category. tunnel-client has 375 stars, while mini-swe-agent has 7.3k stars.
Which is better, tunnel-client or mini-swe-agent?
The best choice depends on your use case. Choose tunnel-client if Connecting a private or localhost MCP server to OpenAI-hosted products like ChatGPT when public internet access is restricted., and mini-swe-agent if Researchers for benchmarking, fine-tuning, or RL experiments without bloat.
Is tunnel-client free or open source?
Yes, tunnel-client is open source on GitHub (Apache-2.0).
Is mini-swe-agent free or open source?
Yes, mini-swe-agent is open source on GitHub.
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