Interactive-LLM-Powered-NPCs: Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction

by AkshitIreddy · Agent Tool · ★ 731

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How to install Interactive-LLM-Powered-NPCs

git clone https://github.com/AkshitIreddy/Interactive-LLM-Powered-NPCs.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiartificial-intelligenceautonomous-agentscomputer-visionlangchainlanguage-modelllm-agentpythonvideo-game

Quick Facts

Stars731
Forks75
LanguageRust
CategoryAgent Tool
LicenseMIT
Quality Score69/100
Open Issues11
Last Updated2026-10-16
Created2023-06-27
Platformsrust
Est. Tokens~26k

About Interactive-LLM-Powered-NPCs

Overview 😄📜 Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! With this project, you can engage in conversations with NPCs in any game using your microphone to speak.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Agent Tool tools