LibreAI / Agents IA / gini-agent
// agents · Open-Curiosity/gini-agent

gini-agent

gini-agent est un projet de agents IA open source, créé par Open-Curiosity (Open-Curiosity/gini-agent sur GitHub). Il compte 1 934 étoiles sur GitHub et 774 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 18 juillet 2026.

Gini: a personal agent runtime that remembers, learns skills, and reaches you with the right control in time.

★ 1,9 k étoiles⑂ 774 forksMITmis à jour juil. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
1 934
Forks
774
Licence
MIT
Dernière mise à jour sur GitHub
18 juillet 2026
Catégorie
Agents IA
Type de fiche
Guide d'installation complet
// fonctionnement

Comment ça marche

  1. Clarify your goal

    Decide which model provider the agent will use, from OpenAI, Anthropic, Bedrock, Azure, OpenRouter, DeepSeek, Codex OAuth, or a local server.

  2. Get the project

    Install Gini with the one-line installer, which on macOS also enables autostart and opens the setup page.

  3. Install and configure

    Complete the setup form with your chosen provider's credentials, or run gini setup then gini start on Linux.

  4. Run your first task

    Chat with the agent, approve tool use when prompted, and manage runs, jobs, and memory from the web app or CLI.

// fonctionnalités

Pourquoi on l'adore

Runtime-as-gateway architecture

One Bun process per instance owns state and work, while web, CLI, mobile, MCP, and messaging clients share one authenticated API contract.

Persistent everything

Chat, runs, tasks, approvals, traces, audit events, jobs, memories, and skills persist across sessions and clients.

In-chat actionable controls

Secure credential fields, sign-in handoffs into the agent's browser, choice prompts, and confirm-before-send controls appear inline instead of prose instructions.

Memory with embeddings and reranking

Local embeddings, reranking, and voice-message transcription are built in, and memory is retained, recalled, and reviewed by the runtime.

Skill learning

Gini improves its own skills from task outcomes through a documented reward, attribution, and human-gated review process.

Parallel instances and remote access

Multiple isolated instances with their own ports and state, plus tunnel options (including Tailscale, ngrok, and Cloudflare) and migration from OpenClaw.

Advertisement
// lancez-le

Lancez-le vous-même

  1. Clone the project (source install alternative)

    Most users use the one-line installer; source runs use Bun.

    git clone https://github.com/Open-Curiosity/gini-agent.git
    cd gini-agent
  2. Install from source and start

    Install dependencies with Bun, then install and start an instance derived from the directory.

    bun install
    bun run gini install
    bun run gini start
  3. Or use the one-line installer, then configure a provider

    After install, open the web app at 127.0.0.1:7777 and set a provider, for example OpenAI.

    curl -fsSL https://raw.githubusercontent.com/Open-Curiosity/gini-agent/main/scripts/install.sh | bash
    gini provider set openai gpt-5.4-mini # model names per README provider section
// cas d'usage

Ce que vous pouvez créer

Advertisement
// faq

Questions fréquentes

Who maintains it?

It is maintained by Open-Curiosity on GitHub.

Is it free to use?

Yes, Gini is MIT-licensed and free to run. You pay your chosen model provider; local OpenAI-compatible servers are supported if you want no API spend.

Does it need a paid API key?

Usually yes: most providers need an API key or OAuth login (Codex), though the local provider can use a self-hosted model server with no key.

How does it compare to a well-known alternative?

Chatbot-style agents keep state in the conversation; Gini's runtime is the system of record, with persistent tasks, approvals, memory, and audit events shared across web, CLI, and mobile clients.

How do I get started?

Run the one-line installer, complete the /setup page with a provider, and open the web app at http://127.0.0.1:7777.

// continuez l'exploration

Outils similaires

Agents IA

hindsight

Agent memory that learns — so your agents get smarter over time.

★ 47,0 k étoilesMIT
Voir le guide →
Agents IA

qwen-audio-agent

Real-time voice runtime that keeps AI agents talking, working, and present.

★ 2,8 k étoilesApache-2.0
Voir le guide →
Agents IA

AppAgent

AppAgent — Tencent's multimodal agent that learns smartphone apps by exploration, then operates them.

★ 6,9 k étoilesMIT
Voir le guide →
Agents IA

tons-of-skills-marketplace

Model-agnostic marketplace of agent skills with a harness-free canonical layer.

★ 2,8 k étoilesMIT
Voir le guide →
Agents IA

yao-meta-skill

YAO: rigorous engineering, evaluation, and governance for reusable agent skills.

★ 2,7 k étoilesMIT
Voir le guide →
Agents IA

openakita

Open-source AI assistant framework with skills and an OpenClaw-style agent core.

★ 2,0 k étoilesAGPL-3.0
Voir le guide →
// alternatives

Alternatives en Agents IA

Les autres projets de la catégorie Agents IA avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si gini-agent ne vous convient pas.

// plus en agents

Plus en Agents IA

Projets de la catégorie Agents IA proches dans le catalogue, les plus proches en étoiles de gini-agent — continuez à explorer de part et d'autre.

Obtenir gini-agent

Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.