KI-Agenten
botpress
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
★ 14,9 Tsd. SterneMIT
Anleitung ansehen →pi ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von earendil-works (earendil-works/pi auf GitHub). Es hat 113.328 Sterne auf GitHub und 14.403 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Choose one concrete task — narrow beats ambitious for a first run.
Fetch the source and skim the docs folder.
Set the environment variables or keys the project needs.
Execute the example workflow and watch what happens.
One interface across model providers.
The core run loop, ready to build on.
A TUI for interacting with your agents.
A command-line coding agent out of the box.
Fits naturally into JS/TS stacks.
Build commercial products on it freely.
Download the source and move into the project folder.
git clone https://github.com/earendil-works/pi.git
cd piPull in the Node packages the project needs.
npm installStart it with the project's documented command (often a dev server).
npm run dev # check README for the exact scriptIt is an open-source project at earendil-works/pi with 14403 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — it's MIT licensed: free to use, modify, and ship commercially. Just keep the license notice in copies.
One interface for many model providers, so you can swap models without rewriting agent code — check the README for the supported list.
A toolkit: the agent loop, TUI, and CLI are building blocks you assemble, not a platform you adopt.
Clone the repo and follow the README quickstart — the README is the best starting point.
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
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Give your AI agent eyes on the whole internet: Twitter, Reddit, YouTube, GitHub and more, one CLI
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.