HN · GitHub Signals

OPEN SOURCE, IN FOCUS

trajectory2gym

yihaohu0118/trajectory2gym

Trajectory2Gym: Decision-Grounded Compositional Interaction Synthesis for Tool-Use Agents. Official code, training tools, and examples.

Explore on GitHub ↗

Saved projects stay in this browser. No account needed.

TAKE A CLOSER LOOK

Start with the source.

The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.

Read the documentation on GitHub ↗

Keep exploring

Find projects in the same areas, or search the archive for a different approach.

ANOTHER GOOD FIND

Explore related projects

View the archive ↗

Connected by topics and descriptions.

amap-ml

urbex

[NeurIPS 26] Official implementation of the paper "Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes"

Take a look →
brayonpi

hexstellar

Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sandbox. Start instantly: pip install hexstellar

Take a look →
china-qijizhifeng

agentic-harness-engineering

Official code for AHE — Agentic Harness Engineering: observability-driven automatic evolution of coding-agent harnesses (concurrent work with meta-harness). Lifts Terminal-Bench 2 pass@1 69.7%→77.0% over 10 iterations, beats Codex/ACE/Training Free GRPO; frozen harness transfers to SWE-bench-verified and 3 other base models.

Take a look →