xLAM
★ 634
vs
conduit
★ 96
xLAM vs conduit
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.; conduit: Conduit acts as a local Model Context Protocol (MCP) gateway, designed to drastically reduce token overhead when AI agents utilize multiple tools by consolidating server tools into a few meta-tools. It simplifies the setup and authentication of various services, allowing them to be configured once and used across all connected AI clients.
01
TL;DR
Choose xLAM if…Function calling in LLMs
Choose conduit if…Reducing token costs and improving context window efficiency for AI agents using many tools.
02
Side-by-Side Comparison
03
Features
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
conduit01~90% fewer tokens by using lazy-discovery mode for tools.
02Single setup and authentication for all AI clients.
03Per-agent scoping to control tool access for different clients.
04Built-in governance to toggle tools on/off and audit calls.
05A built-in playground to test tools before integration.
04
Use Cases
xLAM↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
conduit↳Reducing token costs and improving context window efficiency for AI agents using many tools.
↳Managing and authenticating multiple external services (e.g., Stripe, Supabase, GitHub) for various AI clients from a single gateway.
↳Providing granular control over which tools different AI clients or agents can access, enhancing security and compliance.
↳Testing and validating AI tools (e.g., from an MCP server) using a built-in playground before deploying them to agents.
05
Best For
xLAMTrending
conduit—
FAQ
FAQ
What is the difference between xLAM and conduit?
Both xLAM and conduit are in the LLM Infra category. xLAM has 634 stars, while conduit has 96 stars.
Which is better, xLAM or conduit?
The best choice depends on your use case. Choose xLAM if Function calling in LLMs, and conduit if Reducing token costs and improving context window efficiency for AI agents using many tools..
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (APACHE).
Is conduit free or open source?
Yes, conduit is open source on GitHub (MIT).
→