liliMozi/openhanako
A personal AI agent with memory, personality, and autonomy. observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 98
- Release rhythm 86
- Longevity 12
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 171
- days_rel: 12
- days_push: 12
- n_releases_24m: 124
Adoption not part of the score
6362 stars · 551 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
HanaAgent is a cross-platform desktop application providing a personal AI agent with persistent memory, customizable personality, and autonomous/proactive behavior, aimed at everyday computer users rather than only developers. It bundles a full GUI, multi-agent collaboration, file/terminal/web tools, a community skills ecosystem, a plugin system, OS-level sandboxing, and bridges to messaging platforms like Telegram, WeChat, QQ, and Feishu.
Use cases
- personal AI assistant with long-term memory
- AI agent that can control my computer and run commands
- AI assistant with a customizable personality
- run multiple AI agents that collaborate on my desktop
- chat with my desktop AI agent from Telegram or WeChat
- automate daily office tasks with scheduled AI jobs
- self-hosted AI agent with a graphical interface
- AI assistant that learns new skills on its own
When to choose
- You want a GUI-first AI agent usable by non-programmers, unlike CLI coding agents such as Claude Code or Codex
- You need per-agent memory, personality files, and isolated agent folders that are easy to back up or share as character cards
- You want an agent that can read/write files, run terminal sessions, browse the web, and take screenshots for everyday office work
- You want the same agent reachable from Telegram, WeChat, QQ, or Feishu plus a mobile PWA over LAN
- You value multi-agent coordination, cron-style scheduled tasks, and a sandboxed permission model (Seatbelt/Bubblewrap/restricted token)
When to avoid
- You need a lightweight CLI coding agent tightly integrated into a terminal or IDE development workflow
- You want a library or SDK to embed agent capabilities into your own product rather than a standalone end-user application
- You require enterprise-grade, audited security; the community skills/plugins and sandbox model are geared toward personal use
- You need fine-grained programmatic control over prompts, context windows, or model routing that raw agent SDKs provide
Facets
application · maturity active
agent-framework chatbot chat-interface workflow-automation scheduling plugin-system developer-tools artificial-intelligence chatbots large-language-models developer-tools self-hosted windows cross-platform cli self-hosted personal-ai-assistant persistent-memory agent-personality multi-agent skills-system character-cards os-level-sandbox cron-tasks proactive-agent messaging-bridge desktop-gui pwa plugin-ecosystem ai-agents automation macos linux desktop mobile telegram wechat
1 source
- readme: https://github.com/liliMozi/openhanako · fetched 2026-08-28 · 47805754109f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| liliMozi/openhanako | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="liliMozi/openhanako")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem