Weave is a lightweight toolkit for tracking and evaluating LLM applications.
Weave is a lightweight toolkit for tracking and evaluating LLM applications, built by Weights & Biases. Our goal is to bring rigor, best-practices, and composability to the inherently experimental process of developing AI applications, without introducing cognitive overhead.
Open-source LLM observability and monitoring platform for developers
Add your AI agent to our curated directory
Handle multi-step workflows autonomously
Example
Schedule meeting → Find time → Send invite → Confirm attendees
Save 5-10 hours/week on routine coordination tasks
Gather data from multiple sources and summarize
Example
Research competitor pricing across 5 websites, create comparison table
Reduce research time from hours to minutes
Analyze options and recommend actions
Example
Review 20 vendor proposals, score against criteria, rank top 3
Make data-driven decisions faster
AI agents combine large language models with tools, memory, and decision-making logic to autonomously complete multi-step tasks without constant human guidance.
Large language model for reasoning and decision-making
Understand tasks, plan steps, generate responses
APIs, databases, external services the agent can call
Take actions beyond text generation (search, compute, write files)
Short-term (conversation) and long-term (persistent) memory
Maintain context across interactions and learn from past actions
Decision engine for choosing next action
Plan multi-step workflows and handle errors/edge cases
Prerequisites
Steps
✓ Do
✗ Don't
Key Metrics
Optimization Tips
Good discoverability: Weights & Biases shows up in the agents directory with enough detail to pre-qualify buyers.
Weights & Biases is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
Weights & Biases reduced evaluation time — saves/upvotes on explainx.ai correlated with fewer surprises in the trial.
Weights & Biases has been stable for production-ish demos; the explainx.ai page was a useful single link to share internally.
We piloted Weights & Biases for two weeks; the registry summary and category tag matched what the product actually emphasizes.
Weights & Biases is among the more trustworthy entries we bookmarked; the explainx.ai profile reads like a practitioner summary.
We compared Weights & Biases with three neighbors in the same category; this one had the most concrete “what it does” framing.
I recommend Weights & Biases for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
Good discoverability: Weights & Biases shows up in the agents directory with enough detail to pre-qualify buyers.
I recommend Weights & Biases for teams already running multiple AI agents; the listing helped us narrow the short list quickly.
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Key Considerations
