From d524e3ba9237d25b8afbf5b38dec7f9d0dc9c0f3 Mon Sep 17 00:00:00 2001 From: Mason Daugherty Date: Tue, 17 Mar 2026 14:25:48 -0400 Subject: [PATCH] chore: add badges and tagline to readme header (#1069) * Add badges, tagline, and ecosystem links to README header * Match README header syntax exactly to langchain-ai/langchain repo style * Apply suggestion from @mdrxy Co-authored-by: Mason Daugherty --------- Co-authored-by: open-swe[bot] Co-authored-by: Brace Sproul --- README.md | 25 ++++++++++++++++++------- 1 file changed, 18 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 60d1cdca..7b951ac1 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,27 @@
- - - - Open SWE Logo - + + + + + Open SWE Logo + +
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Open SWE

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The open-source framework for building your org's internal coding agent

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Open-source framework for building your org's internal coding agent.

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+ License + GitHub Stars + Built on LangGraph + Built on Deep Agents + Twitter / X +
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+ Elite engineering orgs like Stripe, Ramp, and Coinbase are building their own internal coding agents — Slackbots, CLIs, and web apps that meet engineers where they already work. These agents are connected to internal systems with the right context, permissioning, and safety boundaries to operate with minimal human oversight. Open SWE is the open-source version of this pattern. Built on [LangGraph](https://langchain-ai.github.io/langgraph/) and [Deep Agents](https://github.com/langchain-ai/deepagents), it gives you the same architecture those companies built internally: cloud sandboxes, Slack and Linear invocation, subagent orchestration, and automatic PR creation — ready to customize for your own codebase and workflows.