Flagged: opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Open-Curiosity · MCP Server · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gini-agent safe to install? View the security audit →
Gini Agent Gini Agent is a personal agent that remembers, improves, and runs without forcing you to read a log line. Gini is not just a chat box, CLI, messaging bot, or pile of tools. Chat is an interaction surface. The runtime is the system of record for conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces, audit events, and runtime health. It's also built to be a product, not plumbing. When the agent needs you, it hands you a purpose-built control right where the work is — a secure field, a choice, a sign-in handoff, a confirm-before-send — instead of a prose instruction or a detour. And because every client speaks the same runtime, those controls reach you on your phone as readily as the desktop, so the machine the agent runs on is not where you have to be.
| Stars | 2,259 |
| Forks | 839 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.1571587075651/100 |
| Open Issues | 27 |
| Last Updated | 2026-07-18 |
| Created | 2026-05-05 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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gini-agent is The agent that remembers and learns.. It is categorized as a MCP Server with 2.3k GitHub stars.
gini-agent is primarily written in TypeScript. It covers topics such as agent, agent-runtime, ai-agent.
You can find installation instructions and usage details in the gini-agent GitHub repository at github.com/Open-Curiosity/gini-agent. The project has 2.3k stars and 839 forks, indicating an active community.
gini-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gini-agent on Agent Skills Hub include gini-agent, gini-agent, fulling. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: