Top Open‑Source AI Agent Tools You Should Explore

01. Awesome AI Agent

awesome‑ai‑agents is an open‑source curated list focusing on AI agent resources, aggregating frameworks, tools, research papers and projects into a structured knowledge base. It has attracted over 20 K stars on GitHub.

Open source: https://github.com/e2b-dev/awesome-ai-agents

02. MacBook as a Scale (TrackWeight)

TrackWeight turns a MacBook’s Force Touch sensor into a digital scale. After installing, placing a small object on the touchpad and lightly touching with a finger displays the weight in grams. The sensor measures pressure, which is calibrated to weight. Limitations: the finger must stay on the pad, metal objects need a paper layer, and it is not precise enough for valuable items.

Open source: https://github.com/KrishKrosh/TrackWeight

03. Glass – Invisible Desktop AI Assistant

Glass is a macOS (Windows in testing) background AI assistant that captures screen content and microphone audio in real time. It can generate meeting minutes, summaries, action items, answer questions during meetings, create notes from documents, and provide code debugging suggestions. It runs invisibly and is invoked with Cmd+\, protecting privacy while allowing user interruption.

Open source: https://github.com/pickle-com/glass

04. Agentic Trading Simulator

This demo uses Google’s Agent Development Kit (ADK) and Agent‑to‑Agent (A2A) protocols to simulate collaborative trading. It includes an AlphaBot that generates buy/sell signals based on a simple moving‑average strategy, a RiskGuard module that validates signals against risk rules, and a web‑based simulator UI for configuration, execution and visualization. The project is for learning only and must not be used for real trading.

Open source: https://github.com/kweinmeister/agentic-trading

05. Microsoft Magentic‑UI

Magentic‑UI is an open‑source intelligent web assistant that can browse pages, fill forms, click buttons, write code, and process data. It emphasizes human‑in‑the‑loop collaboration: it proposes actions, waits for user confirmation, and allows interruption or modification before execution. It is suitable for tasks such as ordering pizza, extracting hidden web content, or generating charts from web data.

Open source: https://github.com/microsoft/magentic-ui