WrenAI

ai-agentNo score yet

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

GitHub ↗

Stars

15,506

Δ stars 7d

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Δ stars 30d

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Forks

1,762

Contributors

66

npm DL / wk

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PyPI DL / wk

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Language

Python

Last push

2026-06-10

About WrenAI

WrenAI is the **open context layer** that gives your agents what schemas don't: business semantics, examples, memory, governance, and — soon — the unstructured corporate knowledge that lives in your docs, wikis, and chat threads. Built for the agent frameworks you already use. Agents are everywhere. Claude Code, Cursor, ChatGPT, Aider, LangChain pipelines, Pydantic AI flows, in-house copilots, customer-facing apps. None of them should have to rediscover your business logic from scratch. With Wren AI, "the context layer," they query through a…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is WrenAI still maintained?
Yes — actively maintained. The last push was on 2026-06-10, with 66 contributors.
What are the best WrenAI alternatives?
Closest by category and size in our data: SuperAGI, E2B, SWE-agent — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 328 open issues · 167 releases