I’m one of the builders of LOLM, a hybrid Transformer–SSM language model and agent system from Qira. The central idea is that an agent should do more than generate text and call tools. LOLM exposes a controller that can decide when to continue, retrieve evidence, verify, branch, or finalize, and it produces a receipt showing what happened during the run. Available now: - Live agent demo - CLI for questions, code tasks, and small HTML builds - Isolated coding sandbox - Local/self-hosting path - MCP support - Explicit failure states and run receipts - Hosted access designed to cost materially less than the major frontier-agent products Try it: https://lolm.imagineqira.com/try.html Repository: https://github.com/TheArtOfSound/lolm I’m looking for people willing to give it a real task, push it until it fails, and say exactly what felt weak, slow, confusing, or untrustworthy. Harsh technical criticism is more useful than vague encouragement. Disclosure: I’m a founder/builder of the project. submitted by /u/OGMYT
Originally posted by u/OGMYT on r/ArtificialInteligence