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-...
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!