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Seer

Makes AI research as intuitive as playing sandbox games
Cloud lab for AI researchers
Core Principle:
Seer is a game-changer for AI interpretability research. It lets you build computational environments like Legos, run experiments on cloud GPUs, and debug agent behaviors in real-time. Say goodbye to local setup nightmares and focus on what matters.
KEY FEATURES
01Env-as-Code
Reproduce any paper's setup with code-defined environments
02Cloud GPUs
Spin up A100s in 30s, no local GPU required
03Sandbox Debug
Tweak agent behaviors like editing Minecraft worlds
04Parallel Tests
Run 10 control groups simultaneously
github.com/ajobi-uhc/seer
content-media·ajobi-uhc·2026-01-14·⭐ 108·🔱 7
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/ajobi-uhc/seer.git
SSH
git clone [email protected]:ajobi-uhc/seer.git
GitHub CLI
gh repo clone ajobi-uhc/seer
FAQ
Q: What are the installation steps for Seer Agent Skills?
1.Code Config: Define env with Python
2.Cloud Deploy: GPU ready in 30s
3.Debug Live: Control agents via IPython
4.Get Insights: Auto-saved experiment data
Q: What are the highlights of Seer Agent Skills?
  • 30s GPU spin-up
  • Everything-as-code
  • Live behavior debugging
  • Paper reproduction toolkit
Q: What are the use cases for Seer Agent Skills?
  • Reproduce SOTA paper experiments
  • Rapid hypothesis testing
  • Compare AI architectures
  • Teach complex concepts
Q: What are the limitations of Seer Agent Skills?
  • Requires Modal account ($30 initial)
  • Depends on Anthropic API
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