I just wanted a small WebUI with an admin panel… it escalated into a full open-source agent framework runs fully local with Ollama

Let me try to explain this clearly, simply, and neatly. Originally, I just wanted to build a small WebUI adapter with an admin panel, but things escalated over the last few months. At first, I faced the challenge of how to store and retrieve memories effectively. Then came the issue of how to properly integrate MCPs, followed by the question of how the agent would know when new MCPs exist or when old ones are gone—after all, I didn't want any artifacts left behind that the agent might mistake for truth. That’s when I stumbled upon the PIANO principle. That is from the paper. "Project Sid: Many-agent simulations toward AI civilization" Here, an AI controls 100 inhabitants in a game simultaneously.I simply modified it for context, tool calls, and more. I thought that idea was brilliant. We simply gather all the information in a bottleneck— tool calls, requests, "thinking"—before anything is even executed. After that, another inquiry is made, and the tools are checked. That's when the TMR comes in. TMR is also taken from a paper. AMR (Abstract Meaning Representation ) I am quoting the paper here: " (Banarescu et al., LAW@ACL 2013). AMR represents sentences as graphs of predicates and semantic roles, independent of the exact wording. TMR applies exactly that principle to agent intents: predicate/theme/scope instead of raw text, so "wahts happen home?" and "Which containers are active?" hit the same safety checks. The reason was a desire to strictly avoid this, simply because embeddings can make mistakes with semantically similar matches. https://github.com/danny094/TRION-system submitted by /u/danny_094 [link] [comments]

Source: r/ollama | 2026-07-21

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