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

MemPalace/mempalace

The best-benchmarked open-source AI memory system. And it's free. observed · 2026-08-28

github.com/MemPalace/mempalace · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

81/100

  • Activity 99
  • Release rhythm 99
  • Longevity 10

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 6
  • age_days: 151
  • days_rel: 10
  • days_push: 7
  • n_releases_24m: 16

Full methodology

Adoption not part of the score

58666 stars · 7523 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MemPalace is a local-first AI memory system that stores conversation history and project files as verbatim text and retrieves them via semantic search using a pluggable vector backend (default ChromaDB). It organizes memories into a hierarchical 'memory palace' structure (wings, rooms, closets, drawers) with a symbolic index, ships as a Python CLI, and requires no API key.

Use cases

  • give my AI assistant long-term memory of past conversations
  • search my Claude and ChatGPT chat history locally
  • store project files and notes in a searchable memory index
  • add persistent memory to Claude Code sessions
  • run a local RAG memory store without API keys
  • retrieve exact verbatim past conversations for an LLM
  • index chat exports from Slack and ChatGPT for semantic search

When to choose

  • you want verbatim, privacy-preserving local memory with no API calls
  • you need scoped retrieval over long conversation history (people/projects/topics)
  • you want an MCP-integrated memory for Claude Code or similar agents
  • you prefer a pluggable vector backend and MIT-licensed open source

When to avoid

  • you need a hosted or multi-user cloud memory service
  • you want summarized or compressed memories rather than verbatim storage
  • you need native Android/Termux support without a PRoot container
  • you need a backend other than vector search without writing a plugin

Facets

cli-tool · maturity active

rag vector-database search-engine mcp cli llm-inference artificial-intelligence large-language-models developer-tools privacy self-hosted python cli windows cross-platform self-hosted ai-memory long-term-memory conversation-history semantic-search chromadb local-first verbatim-storage method-of-loci claude-code chatgpt-exports privacy-preserving no-api-key retrieval-augmented-generation ai-agents linux macos

5 sources

Member repositories

RepositoryRoleHealth v2
MemPalace/mempalacemain81

For agents

markdown · JSON · MCP: product_card(name="MemPalace/mempalace")

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