KI-Agenten
koog
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend service…
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Anleitung ansehen →obsidian-wiki ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von Ar9av (Ar9av/obsidian-wiki auf GitHub). Es hat 3.520 Sterne auf GitHub und 350 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Approval gates for actions that matter.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Download the source and move into the project folder.
git clone https://github.com/Ar9av/obsidian-wiki.git
cd obsidian-wikiEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Ar9av/obsidian-wiki with 350 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
For bounded tasks with supervision, yes. Fully autonomous money-moves still need guardrails.
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend service…
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Modular Python framework for AI agents and workflows with tools and memory.
Kortix - the open-source AI operating system: agents, skills and memory as files in a repo
Build and run agents you can see, understand and trust — framework plus a visual agent service
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls obsidian-wiki nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die obsidian-wiki bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A memory management kit for agents — remember me, refine me.
Build production-ready AI agents in both Python and Typescript.
An open-source sandboxed agent harness for teams — a secured personal agent for every employee.
EvoAgentX — a framework for building self-evolving ecosystems of AI agents.
A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear deb…
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.