gini-agent: The agent that remembers and learns

by Open-Curiosity · MCP Server · ★ 2.3k

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

Security audit verdict: SAFE · quality 66/100

Flagged: opens a tunnel service. 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.

agentagent-runtimeai-agentbunllmlocal-firstmcpnextjspersonal-agenttypescript

Quick Facts

Stars2,263
Forks981
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score66/100
Open Issues27
Last Updated2026-07-18
Created2026-05-05
Platformsmcp, node
Est. Tokens~17k

About gini-agent

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.

Compatible Skills

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

  • clawless — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • build-claude-code — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

gini-agent alternative? Top 6 similar tools

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

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    Fulling is an AI-powered Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui, and PostgreSQL. Use

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    Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

  • wcgw by rusiaaman · ⭐ 674

    Shell and coding agent on mcp clients

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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:

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