Exploring AI Memory and Context System Architecture
NoMusician464 · reddit · 2026-07-10
Developers discussed the design of memory and context management systems for AI agents. The main topics included whether Obsidian-style Markdown memory represents working memory and if it could replace RAG. They also focused on how to ingest working memory into a long-term memory vector database, as well as how to prune and maintain long-term memory.
More from coding & agent
- A roundup of AI agents and MCP resources, including how to evaluate agents — _jaydeepkarale · 2026-07-21
- A full course shows how to build and deploy an AI agent with OpenAI and LangChain — _jaydeepkarale · 2026-07-21
- A beginner guide to AI agents points readers to a Stanford webinar — _jaydeepkarale · 2026-07-21
- A practical guide on how to evaluate AI agents — _jaydeepkarale · 2026-07-21
- MCP is headed toward easier scale, event-driven extensions, and workable file uploads — EricBuess · 2026-07-21
- Developers debate the missing composition model for AI agents — threepointone · 2026-07-21