KI-Agenten
Product-Manager-Skills
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
★ 7,2 Tsd. SterneUnknown
Anleitung ansehen →zerostack ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von gi-dellav (gi-dellav/zerostack auf GitHub). Es hat 1.698 Sterne auf GitHub und 138 Forks, wird unter der Lizenz GPL-3.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
Lean coding agent written in Rust, optimized for memory footprint and performance.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Decide what you want zerostack to do first — lean coding agent written in Rust, optimized for memory footprint and .
The README documents setup; start with the install section.
Working agent support built in.
Models plan and act on their own.
Working agents support built in.
Designed to work with Claude Code.
Memory-safe with strong performance.
Free to use; derivatives stay open.
Download the source and move into the project folder.
git clone https://github.com/gi-dellav/zerostack.git
cd zerostackCompile the release binary.
cargo build --releaseExecute the built binary.
./target/release/app # binary name may varyYes, but note the copyleft: it is GPL-3.0 licensed, so distributed derivatives must stay open.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under GPL-3.0. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Product Management skills framework built on battle-tested methods for Claude Code, Cowork, Codex, and AI agents.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Offline multi-agent simulation and prediction engine: Neo4j plus Ollama, local.
A fast, local-first open-source agent harness written in Rust, with desktop, browser and terminal apps
A memory agent for your agent fleet: it curates, reconciles, and expires shared memories across tools.
Give your AI coding tool expert Swift Concurrency guidance.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls zerostack 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 zerostack bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
A coding agent that runs on your model, your machine, your rules.
A code-first Java toolkit for building AI agents.
Self hosted, live digital human agent system.
Run context-engineering-kit locally: hand-crafted claude code skills focused on improvi...
Give your AI coding tool expert Swift Concurrency guidance.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.