S-Agent 2.0: Spatial Reasoning with a General Coding Agent
We present S-Agent 2.0, a spatial reasoning agent that equips an off-the-shelf general coding agent with a command-line perception toolkit, and we design the interface around one principle: help the VLM close the evidence loop: acquire scene evidence, remember it in a persistent scene memory, and interpret each reading in plain spatial language.
ProofPaper ↗
Key points
- Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move.
- Agentic VLMs have recently brought large improvements on such tasks by letting the model actively gather evidence with 3D perception tools instead of answering in a single pass.
- With the open backbone S-Agent 2.0 reaches 66.5 on MMSI-Bench and 82.3 on ReVSI, ahead of the specialized system SpatialClaw on the same backbone (62.6 and 74.5), and with Gemini-3.8-Flash it reaches 74.1 and 90.5 against its 67.0 and 79.7.
- S-Agent 2.0 also works across different general coding agent harnesses, such as Codex and Claude Code.
Sources (2)
- [1]S-Agent 2.0: Spatial Reasoning with a General Coding AgentHugging Face Daily Papers · Oct 20, 12:00 AM
We present S-Agent 2.0, a spatial reasoning agent that equips an off-the-shelf general coding agent with a command-line perception toolkit, and we design the interface around one principle: help the VLM close the evidence loop: acquire scene evidence, remember it in a persistent scene memory, and interpret each reading in plain spatial language.
Spatial reasoning asks a model to work out where objects are in 3D space, how they relate to one another, and how they move.
- [2]S-Agent 2.0: Spatial Reasoning with a General Coding AgentarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 03:20 PM · same content
Extractive summary: sentences quoted from the sources.
Before this
- Oct 19, 2026unslothai/unsloth v0.1.909-beta: DeepSeek-V4.1 & FLUX-3
- Oct 19, 2026Maestro: Agentic Formal Proof Development by Coordination
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- Oct 18, 2026Stop Telling Agents How — Dan Barrett, Raymond Weitekamp & Jose Montes de Oca, OpenProse
- Oct 18, 2026Google Open-Sources Harness2, a Recursive Agent Harnessing Framework
- Oct 18, 2026ilha