Ross ROSS = Recommend OSS · open-source software intelligence for agents

huohua325/Memslides

A hierarchical memory framework for personalized presentation agents. Try it at memslides.com. observed · 2026-09-01

github.com/huohua325/Memslides · homepage · Python · Apache-2.0 (permissive) observed · 2026-09-01

Health v2 · maintenance only

67/100

  • Activity 100
  • Release rhythm 57
  • Longevity 8

Flags: prerelease_only young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 122
  • days_rel: 79
  • days_push: 4
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1054 stars · 32 forks observed · 2026-09-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MemSlides is a hierarchical memory-driven agent framework for generating and revising personalized slide decks. It separates long-term memory (user profile memory and tool memory) from working memory, and applies scoped slide-local revision so edits touch only the smallest affected region instead of regenerating the whole deck.

Use cases

  • Generate a personalized presentation deck from a prompt and stored user preferences
  • Revise individual slides across multiple turns without regenerating the full deck
  • Persist user intent and style preferences across separate presentation tasks
  • Reuse stored tool execution experience for reliable localized slide edits
  • Run a research-backed presentation agent locally via Docker or try it on the hosted demo

Facets

framework · maturity active

agent-framework prompt-engineering python slides presentation memory personalization llm-agent llm-tools nodejs docker web

6 sources

Member repositories

RepositoryRoleHealth v2
huohua325/Memslidesmain67

For agents

markdown · JSON · MCP: product_card(name="huohua325/Memslides")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem