AI Agents
open-multi-agent
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
★ 7.0k starsMIT
View guide →Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
pentagi is an open-source ai agents project by vxcontrol (vxcontrol/pentagi on GitHub). It has 25,342 GitHub stars and 3,253 forks, is released under the MIT license, and was last updated on GitHub on 5 October 2026.
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.
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