Overview
Only about 2% of information is digitized. The vast majority of information by humans exists in undigitized manuals, CAD diagrams, unarchived research specs and papers. To build an RL environment, you usually need to do some part of it by hand.
RLForge seeks to fix that. Given a verifiable domain, RLForge automatically creates an RLVR environment. Engineers and scientists no longer need huge data pipelines to determine if a paper is valuable for post-training, RLForge does it for you.
You can now train your agent to do any task, provided you have some written description.
Note: the demo URL is substituted with the GitHub repository link.
Tech stack
No comments yet
Be the first to comment on this project.
sentinel
Full-Stack Self-Healing DevOps & Security Copilot The Concept: An AI operations engineer that doesn't just suggest code fixes—it monitors cloud infra, detects uptime/security drops, automatically provisions fixes, and generates audit reports for enterprise compliance.
Agency Compiler
Agentic creative project compiler. Most creatives, agencies and designers dont know how to use ai, none the less agents. We created a platform that allows a creative agency or studio owner to instantly spin up agents based on the project ask, resources and scale.
ProofRun
ProofRun helps developers answer a critical question before shipping: will this update break behavior users rely on? An AI agent inspects two Git revisions, designs targeted experiments, and proposes repairs. An independent Docker-based verifier runs those experiments against both versions, preserves the original tests, and checks whether the repair actually works. Developers receive an update, skip, or postpone recommendation with recorded evidence and a reviewable patch. In a live synthetic…