Build AI Apps with Python: AI Agent That Remembers — JSON Memory Tools | Episode 19

An agent that forgets everything after each question is useless for research. Give it memory — now it builds knowledge over time. We build a research agent with persistent memory. Three tools — lookup_info, save_note, and recall_notes. The agent researches topics, saves findings to a JSON file, and recalls them in later sessions without searching again. Session 3 proves it: the agent remembers what it learned in Session 1. Student code: https://github.com/GoCelesteAI/build-ai-apps-python/tree/main/episode19 Every keystroke is shown on screen with 3-second pauses so you can follow along at your own pace. What You'll Learn: • Persistent memory with JSON file storage • save_note tool — store findings by topic • recall_notes tool — retrieve saved knowledge • lookup_info tool — mock research database • Memory that survives across agent sessions • System prompt guiding save/recall behavior • Agent choosing when to save vs recall • Three-session demo proving memory works Key Takeaways: 1. Tools give agents persistent memory — save_note writes to JSON, recall_notes reads it back 2. Memory survives across sessions — Session 3 recalls Session 1 findings without re-searching 3. The agent decides what to remember — the system prompt guides save and recall behavior This is Episode 19 of Build AI Apps with Python in Neovim — Phase 4 (AI Agents). Taught by CelesteAI. Like & subscribe for more tutorials!