MaiBot is a Python-based LLM agent focused on warm, human-like interaction, with versioned releases and a WebUI, docs, and deployment guides. It includes plugin APIs, online search, and memory features across multiple components.
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What it is
MaiBot (MaiSaka) is an LLM-based interactive agent designed to interact in a human-like style with warmth and authenticity. It includes an agent system with chat capabilities, LLm integration, and a plugin/event system for extensibility. The project provides release notes across components such as MaiSaka, WebUI, A_Memorix, and main program, highlighting networking-enabled search, memory lifecycles, and UI improvements.
How it works
The repository describes components that support text, image, structured outputs, function tools, native tools, streaming events, and usage tracking via a Responses API. It mentions DeepSeek v4 flash networking search and the display of invoked networking tools. It also covers memory lifecycle growth and decay and interaction between planner and replyer modules.
Getting started
Installation references a latest version (v1.1.4) and Deployment Guide. It also points to a launcher for Windows/Mac and a Release page for downloads. The repository includes a bilingual README with links to documentation and deployment instructions. For setup, follow the deployment guide and download the latest release from the Release page or use the provided launcher.
Recent releases
Latest release mentioned: 1.1.4 (2026-08-04). Other release entries include 1.1.3 (2026-07-28), 1.1.2 (2026-07-28), 1.1.1 (2026-07-28), and 1.1.0 (2026-07-22). The notes document iterations across MaiSaka, WebUI, A_Memorix, and main program.
Traction
Repository has 5645 stars and 587 forks as stated in the facts block. Open issues are 51. The language is Python and the license is GPL-3.0.
Behind the repo
Not applicable beyond the general project description and linked related projects and contributors sections.
Caveats
License: GPL-3.0. Created 2025-02-25. Last push 2026-08-04. The README indicates multiple components and Chinese/English sections, with deployment and documentation links.