LibreAI / KI-Agenten / gini-agent
// agents · Open-Curiosity/gini-agent

gini-agent

gini-agent ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von Open-Curiosity (Open-Curiosity/gini-agent auf GitHub). Es hat 1.934 Sterne auf GitHub und 774 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 18. Juli 2026 auf GitHub aktualisiert.

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

★ 1,9 Tsd. Sterne⑂ 774 ForksMITaktualisiert Jul 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
1.934
Forks
774
Lizenz
MIT
Zuletzt auf GitHub aktualisiert
18. Juli 2026
Kategorie
KI-Agenten
Eintragstyp
Vollständige Installationsanleitung
// so funktioniert es

So funktioniert es

  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.

// funktionen

Warum es so beliebt ist

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.

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// selbst ausführen

Führe es selbst aus

  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
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

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.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Agenten

Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls gini-agent nicht das Richtige ist.

// mehr in agents

Mehr in KI-Agenten

Verwandte Projekte der Kategorie KI-Agenten im Katalog, die gini-agent bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir gini-agent

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.