
Weave
Weights & Biases
★ #71 in AI PlatformsProduct status: Status not recorded
No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
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W&B's toolkit for LLM ops: tracing, evals, and guardrails beside the experiment tracking you know. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
Product preview

Overview
Weave is Weights & Biases' tooling for watching and improving AI systems that are already running. It records traces, organises them by session, turn, step, tool and sub-agent rather than as loose calls, classifies behaviour with built-in and custom signals, sends alerts to chat and webhooks, runs evaluations through an API, and offers a playground for comparing prompts and models against real traces. Guardrails add scorers for safety and quality — toxicity, bias, personal-information detection, hallucination; coherence, fluency, context relevance — and evaluations can be aggregated into leaderboards. It sits inside a larger platform that also covers experiment tracking, model registry and hosting, so it is aimed at teams that already treat model work as a discipline with runs and versions.
It suits a team whose agents are in production and whose new problem is reliability drift — the failure modes that never appeared in offline testing — and it suits organisations that want one vendor for training experiments and for what the deployed system does afterwards. It suits less well a team that wants an open-source observability stack to own end to end, because this is a commercial platform with its own data plane, and it suits less well anyone whose only need is to log calls and look at latency.
Not verified: no traces, evaluations or guardrails were run, so the accuracy of the signals, the scorers and the session model was not observed. The page carried a line asking readers to contact support if they need help retrieving their data; nothing on the pages read explained what it referred to, and no support channel was consulted. The claims on the page — that token cost can be cut sharply, that reported latency stays flat as graph size grows, and the figures in the vendor's own dashboard illustration — are the vendor's own numbers or mock-up data, not measurements taken here. The pricing page was not opened, so tiers and prices are unknown, and the Weave repository was not read, so its licence and release cadence are unchecked.
No content sources are recorded for this entry. Its inclusion and existing score do not establish that its claims have been independently verified.
Pros / Cons
Pros
- Training and inference in one lineage
- Evals beside experiment tracking
- Guardrails on deployed paths
- W&B ecosystem maturity
Cons
- Newer than dedicated LLM tools
- Weave concepts beside W&B runs
- Pricing on usage tiers
Who it's for
Teams already on W&B adding LLM ops
Tracing agent and RAG pipelines
Evals beside model experiments
Guardrails for deployed prompts
Bottom line
Agent observability inside the Weights & Biases platform — buy it if training experiments and production behaviour should share one vendor and one bill.
Key Features
Tags
Frequently asked questions
Is Weave currently available?
No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
What is Weave?
Weave is a AI Platforms tool developed by Weights & Biases. It was introduced in 2024, and its developer is headquartered in San Francisco, USA. W&B's toolkit for LLM ops: tracing, evals, and guardrails beside the experiment tracking you know.
Is Weave free?
Weave uses a freemium model: a free tier is available, and paid plans unlock more usage and advanced features.
Is Weave open source?
No — Weave is proprietary software.
What are the best alternatives to Weave?
Notable AI Platforms alternatives include Hugging Face, Replicate, Ollama. Browse all 138 tools in our AI Platforms category for a full overview.
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Basic Info
- Pricing
- Freemium
- Editorial score
- ★ 4.5 / 5 How we score
- Platforms
- LibraryCloud
- Launched
- 2024
- Headquarters
- San Francisco, USA
- Last verified
- Not recorded