KI-Agenten
open-multi-agent
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
★ 7,0 Tsd. SterneMIT
Anleitung ansehen →pentagi ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von vxcontrol (vxcontrol/pentagi auf GitHub). Es hat 25.342 Sterne auf GitHub und 3.253 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 5. Oktober 2026 auf GitHub aktualisiert.
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
Decide what you want to achieve with pentagi and check the README on GitHub for requirements before installing.
Clone the repository from GitHub (or take the packaged install route in step 3 if the README offers one).
Follow the project's documented install commands — the Run section below lists the exact ones — and add any required API keys or models.
Work through the README's quickstart example end to end, then adapt it to your own project or data.
Specialized agents plan, execute and reflect on penetration-testing tasks end to end.
Task decomposition and planning features (some marked Beta in the docs) structure long engagements.
Agents run security tools inside the provided Docker environment rather than on your host.
A monitoring view (Beta) follows agent actions as a test unfolds.
Compose overlays add Langfuse tracing and a Graphiti/Neo4j knowledge graph for long-term memory.
Runs on your infrastructure with your own model keys — OpenAI, Anthropic and open models are configurable.
Get the PentAGI source and compose files.
git clone https://github.com/vxcontrol/pentagi.git
cd pentagiThe README recommends the official installer (download, extract, run interactively) or a manual Docker Compose setup; add your user to the docker group as directed.
# download and run the PentAGI installer per the README 'Quick Start', then:
docker compose up -dAdd your LLM provider keys in the UI, define an authorized target scope, and launch a supervised test.
# configure provider keys in the PentAGI web UI after docker compose up -dpentagi is maintained by the vxcontrol organization/account on GitHub, together with open-source contributors, in the public repository vxcontrol/pentagi.
Yes — the code is open source under the MIT license. You can use, modify and redistribute it under that license's terms.
PentAGI is free and MIT-licensed, but the agents need LLM access — your own OpenAI/Anthropic keys or local models — and you must only use it on systems you are authorized to test.
Manual tooling gives total control; PentAGI adds autonomous planning and execution on top of similar tools, which demands closer supervision and clear authorization.
Clone the repository from GitHub, follow the install commands in the Run section (taken from the project's README), and complete the documented quickstart example before adapting it to your own use case.
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
Rakazo — an open-source, self-hosted AI agent for persistent teammates: bring your own model and computer, run it on web, desktop, iPhone and Android
Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat…
Self-hosted AI pentesting agent that finds flaws and opens PRs to fix them.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls pentagi 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 pentagi bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
The SDK for extracting data and interacting with any site on the web.
Stateful AI agents with memory that learns and improves.
Test prompts, agents and RAGs — LLM evals, red teaming and model comparisons from the CLI
The official Python SDK for Model Context Protocol servers and clients.
The open protocol that lets AI agents talk to each other.
Jev Ultrafast — the fastest browser agent from browser-use: one decision-model request per action cycle drives a real browser, MIT
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.