Awesome-Memory-for-Agents — Paper List + Taxonomy

Main

• Use the taxonomy first: it defines short-term vs long-term memory, then splits long-term into Experience vs Memory based on outcome validation.

• Pick one of the three application scenarios (personalization, learning from experience, long-horizon tasks) and skim the newest papers first.

• Use it as a design checklist: map your agent’s memory store (scratchpad, episodic log, external DB, skill store) to the repo’s terms to avoid ambiguity.

Source-backed notes

• README’s Overview section defines Short-Term Memory vs Long-Term Memory, and further splits long-term memory into Experience vs Memory.
• README maps the taxonomy to three application scenarios: personalization, learning from experience, and long-horizon agentic tasks.
• The paper list is presented as dated tables with direct paper links (e.g., arXiv).

FAQ

• Is this a tool or a reading list?: It’s a curated paper list; use it to guide design and evaluation of memory systems.
• How should I read it efficiently?: Start with one application scenario, then scan the newest dated entries first.
• Does it include benchmarks?: Yes — README includes a Benchmark section and organizes papers around application needs.