Local-first personal AI agent that runs on Ollama + Telegram — looking for feature ideas

I’ve been building ClawLite, an open-source personal AI assistant that talks to you through Telegram and defaults to Ollama (local models). What it does: Multi-agent research with actual cross-source verification and confidence scores Hierarchical memory you fully control + one-command full export as Markdown Fail-closed governance (human approval before email, calendar, code execution, etc.) Sandbox isolation, lightweight footprint, one-click Windows installer It runs with Ollama by default. Cloud models are optional cascade only, and the user is always told when data leaves the machine. Core is solid. I’m more interested in hearing from people actually running local models than inventing features alone. What would make this more useful for your Ollama setup? Specific workflows, missing tools, memory behaviour, research improvements, better local-model handling, etc. Repo: https://github.com/forgesynapseltd/ClawLite Any feedback welcome. submitted by /u/Mysterious_Gain_352 [link] [comments]

Source: r/ollama | 2026-07-30