tunnel-client
★ 375
vs
xLAM
★ 638
tunnel-client vs xLAM
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.; xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.
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 xLAM if…Function calling in LLMs
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.
xLAM01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
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.
xLAM↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
05
Best For
tunnel-clientEssentialHidden Gem
xLAMTrending
FAQ
FAQ
What is the difference between tunnel-client and xLAM?
Both tunnel-client and xLAM are in the LLM Infra category. tunnel-client has 375 stars, while xLAM has 638 stars.
Which is better, tunnel-client or xLAM?
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 xLAM if Function calling in LLMs.
Is tunnel-client free or open source?
Yes, tunnel-client is open source on GitHub (Apache-2.0).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (APACHE).
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