Skip to Main Content

ledgerlab-openenv

OpenEnv Hackathon SF

LedgerLab LedgerLab is a memory-first Jupyter workspace environment for training long-horizon business agents with OpenEnv. This project targets the OpenEnv hackathon theme of long-horizon instruction following and business workflows. The environment forces an agent to work through realistic spreadsheet and document tasks by inspecting reference files, creating notebooks, running iterative analysis, producing deliverables, and finally submitting for reward.

Team

weebhek

Placement

Participant

More from OpenEnv Hackathon SF

Noclue

Kube SRE Gym is a self-improving RL environment where a small language model (Qwen3-1.7B) learns to diagnose and fix real Kubernetes production incidents…

Noclue project preview

Zero Shot Cancer

RL environment for autonomous biologist agents. Simulate an entire biological worldstate based on scientifically-accurate single-cell standards. Naive agents…

Zero Shot Cancer project preview

Lambda

ShopRLVE-GYM HF Blog https://huggingface.co/blog/thebajajra/shop-rlve-gym

Lambda project preview

Play-gent

Our agent uses OpenEnv to build a curriculum of video game environments that train a TinyLlama 1.1B agent via GRPO reinforcement learning. We implement three…

Play-gent project preview

Gaia

GAIA is an OpenEnv-compatible geospatial reasoning environment where an AI agent infers hidden real-world locations using multi-step tool calls (terrain…

drive.google.com/…

Deepmind Ace

Voyager-VRAM is a long-horizon workplace simulator where LLM agents must navigate a realistic office environment ( emails, Slack, shared drive, spreadsheets…

Deepmind Ace project preview