OpenHistory vs Teenage-AGI: Which is Better in 2026?

as of Sep 30, 2026

• Permission-scoped activity capture
• Hourly and daily summaries
• Local AI agent access
• No sensitive capture by design
• No telemetry

• Persistent memory via Pinecone
• Think before acting
• Memory counter
• Read and think commands
• Docker support

OpenHistory is an open-source macOS app that builds a private, searchable timeline of a user's work by observing only the foreground activity they explicitly permit — window names, document context, browser domains, clicks, and visible interface text via macOS Accessibility APIs. It generates hourly and daily summaries and gives approved local AI agents a controlled way to answer questions about what the user did, using Apple's local Foundation Model by default or, optionally, OpenAI, Anthropic, or Kimi. By design, it does not capture screenshots, audio, camera or microphone input, passwords, private browser windows, or low-level keystrokes, and sends no analytics or telemetry of its own. All activity, timelines, summaries, settings, and agent connections are stored in a permission-restricted directory on the user's own Mac. It requires macOS 14 or later and is available on GitHub and via a direct download from its own site.

Teenage-AGI is an open-source Python project, inspired by BabyAGI and the "Generative Agents" research paper, that gives an AI agent memory using OpenAI and Pinecone. Every time it is queried, it vectorizes and stores the query, retrieves relevant past memories, thinks about what action to take, and then generates a response, storing the interaction back into its Pinecone vector database. Because memories persist in Pinecone with a memory counter tracking the index, the agent retains its memories even after being shut down.