Local Ai

I built a hybrid Transformer–SSM LLM agent with a local CLI, active control, and run receipts

I’m one of the builders of LOLM, a hybrid Transformer–SSM model and agent system from Qira. The model separates surface token processing from persistent latent-state tracking. An NFET controller can s

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local-air-ollama

I’m one of the builders of LOLM, a hybrid Transformer–SSM model and agent system from Qira. The model separates surface token processing from persistent latent-state tracking. An NFET controller can select continue, retrieve, verify, branch, or finalize. The repository is explicit about the current limitation: control is active at agent-loop boundaries, while deeper token-level control remains under development. Practical surfaces: - npx lolm-cli ask "..." - Isolated coding runs with actual exit codes - Local/self-hosting support - MCP support - Controller timelines and sealed receipts - Lower-cost hosted access Try it: https://lolm.imagineqira.com/try.html Repository: https://github.com/TheArtOfSound/lolm I’m looking for aggressive tests: long tasks, failed tools, contradictory requirements, bad retrieval, local-model comparisons, and anything that exposes where the controller loses the plot. Disclosure: I’m a founder/builder of the project. submitted by /u/OGMYT [link] [comments]

Source: r/ollama | 2026-07-31

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