inno-agent — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by hhyqhh · Agent Tool · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is inno-agent safe to install? View the security audit →

About inno-agent

Inno Agent An open-source personal learning agent with a layered memory system, a proactive scheduler, multi-channel messaging, and a workspace-scoped Practice Lab — built on the Pi coding-agent SDK without modifying its kernel. 🌐 Homepage: https://hhyqhh.github.io/inno-agent-website/ - project overview, feature walkthrough, and live demos. 📄 Technical Report: Inno Agent: An Open-Source Personal Learning Agent with Layered Memory, Educational Post-Training, and Local Deployment (arXiv, June 2026) — covers the system design, three-layer memory architecture, instructional-design grounding, and preliminary educational post-training results on Qwen3.6 35B. 📦 Resource Hub: Chloris-Blaxk/inno-agent-hub — the companion repository containing the skill library, workspace preset templates, and community-contributed resources for Inno Agent. <img

clielectronlearning-agentllm-agentmemorypersonal-knowledge-managementpi-sdktypescript

Quick Facts

Stars1,285
Forks231
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score72.9254245724283/100
Open Issues8
Last Updated2026-09-19
Created2026-05-28
Platformscli, node
Est. Tokens~17k

Compatible Skills

These tools work well together with inno-agent for enhanced workflows:

  • swarmvault — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • ChatCrystal — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • llm-wiki-plugin — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
  • Kompl — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (58%)
  • MineEcho — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

inno-agent alternative? Top 6 similar tools

Looking for a inno-agent alternative? If you're comparing inno-agent with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • stash by Fergana-Labs · ⭐ 336

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  • ChatLab by hellodigua · ⭐ 5.0k

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  • gptme by gptme · ⭐ 4.4k

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  • gemini-mcp-tool by jamubc · ⭐ 2.3k

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Frequently Asked Questions

What is inno-agent?

inno-agent is An open-source personal learning agent with three-layer memory (learner profile / wiki knowledge base / cross-conversation recall), a proactive scheduler, personal IM channels, and a workspace-scoped . It is categorized as a Agent Tool with 1.3k GitHub stars.

What programming language is inno-agent written in?

inno-agent is primarily written in TypeScript. It covers topics such as cli, electron, learning-agent.

How do I install or use inno-agent?

You can find installation instructions and usage details in the inno-agent GitHub repository at github.com/hhyqhh/inno-agent. The project has 1.3k stars and 231 forks, indicating an active community.

What license does inno-agent use?

inno-agent is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to inno-agent?

The top alternatives to inno-agent on Agent Skills Hub include stash, ChatLab, gptme. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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