AI Models
🐱 LongCat-2.0 is now fully open-source - MIT licensed， no restrictions. Since our launch a few day…
美团 LongCat-2.0 完全开源（MIT 许可），1.6T MoE 模型开放权重与推理代码
Meituan LongCat (@Meituan_LongCat)
X (formerly Twitter)🐱 LongCat-2.0 is now fully open-source — MIT licensed, no restrictions. Since our launch a few days ago, the response from the community has been incredible. Thank you for all the feedback, discussions, and interest. Today, we’re releasing the model weights and inference code
Open sourceRecommended because
This is worth tracking because it is a concrete model capability signal, not just a passing headline. The source preview points to a change in model capability, availability, benchmark behavior, or developer access. For builders and operators, "🐱 LongCat-2.0 is now fully open-source - MIT licensed， no restrictions. Since our launch a few day…" can be used as a checkpoint for model selection, product roadmaps, eval planning, and timing decisions. I keep this thread indexed so future searches around AI model updates, capability shifts, and developer adoption can land on a source-linked page instead of disappearing into a fast-moving feed from X (formerly Twitter).
What to take from this signal
Context
"🐱 LongCat-2.0 is now fully open-source - MIT licensed， no restrictions. Since our launch a few day…" is archived here as a source-linked AI signal from X (formerly Twitter). The useful part is the connection between LongCat-2, fully, open-source, MIT, licensed and model selection, product roadmaps, eval planning, and timing decisions, which makes the item more actionable than a normal feed headline. The source context says: 🐱 LongCat-2.0 is now fully open-source — MIT licensed, no restrictions. Since our launch a few days ago, the response from the community has been incredible. Thank you for all the feedback, discussions, and interest. Today, we’re releasing the model weights and inference code
Builder takeaway
For an AI builder, the main takeaway is to watch how this signal changes practical decisions around model quality, latency, cost, eval coverage, and release timing. It can inform what to test next, which product surface to compare, and whether the underlying workflow is ready for real users.
Source context
X (formerly Twitter) remains the authoritative source for the original claim. This page adds a stable archive URL, a short builder interpretation, and related search language so the item can be found later when the original feed has moved on.
Search angles
- 🐱 LongCat-2.0 is now fully open-source - MIT licensed， no restrictions. Since our launch a few day… AI Models context
- X (formerly Twitter) AI model releases
- LongCat-2, fully, open-source, MIT, licensed builder takeaway
- AI model updates, capability shifts, and developer adoption
This page keeps a source preview and a stable archive URL for search discovery. The original source remains authoritative.