Daily brief · November 2, 2026

AnyModelBot is an open-source, local-first personal AI assistant app

2 items that moved, with the numbers. Measured by SteadyVane, fact-checked, and graded before publishing.

AnyModelBot is an open-source, local-first personal AI assistant app

GitHub · Tool · modelflare-ai/AnyModelBot: stars (saves) history

413 → 1,130stars (saves) on GitHub in 12 habout 41× the typical pace of other tracked GitHub repos

AnyModelBot is an open-source, MIT-licensed, local-first personal AI assistant for Windows, macOS, Linux or Docker, and the app itself is free. Per its description, it reaches GPT, Claude, Gemini, Grok, DeepSeek, Kimi, GLM and 70+ more models through one Modelflare key, pay per use, with bots usable in the app, WeChat or Feishu.

The repo went from 413 to 1,130 stars (saves) on GitHub in 12 hours - about 41 times the typical pace of other repos SteadyVane tracks on GitHub. It was published about six days ago and has 13 forks.

Why it matters: If you want to try several models without separate accounts, the maker's pitch is one key and pay-per-use pricing with no subscription. It is not an offline product: models are reached through the Modelflare key, so prompts and file contents needed for an answer leave the machine.

Local-first describes where the app and its memory live. The model calls still go out.

Kanzo is a self-hosted kanban board that coding agents can use through MCP

GitHub · Tool · emanuele-em/kanzo: stars (saves) history

145 → 745stars (saves) on GitHub in 4 daysabout 6.5× the typical pace of other tracked GitHub repos

Kanzo is a kanban board in the browser and an MCP server in one 4.5 MB program, so you and your coding agents work on the same tasks. Setup commands are given for Claude Code and Codex. Board data is kept in SQLite, no account is required, and it is open source under AGPL-3.0.

The repo went from 145 to 745 stars (saves) on GitHub in 97 hours - about 6.5 times the typical pace of other repos SteadyVane tracks on GitHub. It was published about eight days ago and has 44 forks.

Why it matters: If you hand tasks to coding agents, a shared board gives you and them one list of what is open. The MCP directory listing says replies are 10 to 60 tokens of plain text, a claim worth testing against your own agent setup.

The test is whether your agent and you can really work from the same list of tasks.

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