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W&B Weave

Toolkit for developing AI-powered applications, by Weights & Biases

wandb/weave

Maintained by wandb

Weave is a toolkit from Weights & Biases for developing AI-powered applications, used for tracing and evaluating LLM apps and agents.

The team behind it

Observability and continuous improvement for production agents

W&B Weave is Weights & Biases' observability and evaluation product for production AI agents. Its traces are organized around sessions, turns, steps, tools and sub-agents. It adds behavior monitoring with alerts, an evaluation API, guardrail scorers and leaderboards. Coding agents such as Claude Code can connect through W&B skills and an MCP server to read production data and run evaluations.

alibaba/open-code-review

Alibaba's hybrid deterministic-plus-agent code review CLI.

Maintained by Alibaba

4 pros · 4 cons

stanfordnlp/dspy

Programming, not prompting: optimize the whole pipeline.

Maintained by Stanford NLP

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langfuse/langfuse

Open-source LLM engineering platform: traces, evals, prompts.

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Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintained by · 1

Similar entries · 3

Sources

  1. GitHub