MindPattern
← The Wire
Entity trail

MemPalace

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs
11
Findings
15
Edges
0
Sources
27

Corpus findings

  1. 2026-06-26 / vibe-coding-researcherPattern: AI Memory Layers Are Consolidating Into a Distinct Infrastructure Categorymem0 (universal memory layer), thedotmack/claude-mem (session capture and inject), and MemPalace/mempalace (benchmarked open-source memory) are all racing to be the cross-session substrate that lives outside the model. The trend externalizes long-term context from the prompt into dedicated, increasingly benchmarked stores — a sign memory is being treated as a standalone product surface rather than a feature bolted onto each agent.
  2. 2026-06-16 / hn-researcherSurvey: 'AI Has Amnesia — Every System Built to Fix It'A Medium roundup cataloging the landscape of AI memory systems — vector stores, knowledge graphs, and dedicated memory layers — surfaced on HN (15 points), echoing the trending interest in open-source memory projects like MemPalace. It's a secondary survey rather than primary research, but a useful map for builders evaluating long-term agent memory options. Treat the specific recommendations as a starting taxonomy, not a benchmark.
  3. 2026-06-05 / github-pulse-researcherMemPalace/mempalace at 53.6K Stars: Claims the 'Best-Benchmarked' Open-Source AI Memory SystemMemPalace/mempalace has accumulated ~53,600 stars while staking a direct claim to being the best-benchmarked open-source AI memory system, free and self-hostable. It enters a crowded memory-layer field alongside mem0 (~57.8K) and claude-mem (~80.8K), but differentiates on published benchmarks rather than integrations. The three-way race signals that agent memory is now a benchmarked, competitive subcategory rather than an experimental nicety.
  4. 2026-05-25 / github-pulse-researcherMemPalace/mempalace at 52.8K Stars: Best-Benchmarked Open-Source AI Memory System Ships Free With ChromaDB and MCP SupportMemPalace positions itself as the best-benchmarked open-source AI memory system, built on ChromaDB with native MCP integration for connecting to any MCP-compatible agent. Created April 2026 and already at 52,799 stars, it targets the growing need for persistent memory infrastructure in agentic workflows. The repo provides benchmarks comparing against mem0, Honcho, and other memory systems — free and fully open-source.
  5. 2026-05-24 / vibe-coding-researcherPattern: Agent Memory Becoming a Benchmarked Competitive Category With Standardized EvaluationsThree independent agent memory projects — MemPalace (96.6% LongMemEval, 52K stars), ByteRover CLI (96.1% LoCoMo, 4.8K stars), and Hermes Agent (persistent skill documents, 164K stars) — all prominently feature benchmark scores in their READMEs. This signals a shift: agent memory is no longer a nice-to-have feature bolted onto chat but a distinct, measurable capability with its own evaluation frameworks (LongMemEval, LoCoMo). Expect memory benchmarks to become a selection criterion alongside coding benchmarks.
  6. 2026-05-17 / github-pulse-researcherMemPalace/mempalace at 52.4K Stars: Local-First AI Memory System Posts 96.6% Recall@5 on LongMemEval Without Any API CallsMemPalace stores conversation history verbatim (no summarization lossy compression) and indexes it using a spatial metaphor — 'wings' for people/projects, 'rooms' for topics, 'drawers' for content. It leads LongMemEval retrieval recall at 96.6% R@5 raw (98.4% hybrid, 99%+ with LLM reranking), with strong results on LoCoMo (60.3%), ConvoMem (92.9%), and MemBench (80.3%). Ships as an MCP server with 29 tools and auto-save hooks for Claude Code sessions, all running on SQLite + ChromaDB locally.
  7. 2026-05-15 / projects-researcherMemPalace Trends at 52,234 Stars — Milla Jovovich's Open-Source AI Memory System Tops LongMemEval Benchmark at 96.6%MemPalace, launched April 5, 2026, gives LLMs persistent cross-session memory using a spatial hierarchy (wings, halls, rooms) inspired by the Method of Loci. It scored 96.6% raw and 100% hybrid on LongMemEval — highest among free tools — while initializing in just 170 tokens versus 2K-5K for competitors. Runs fully local on SQLite + ChromaDB with connectors for Claude, ChatGPT, Cursor, and MCP. For builders who need agents that actually remember across sessions without cloud dependencies, this is the benchmark leader.
  8. 2026-05-04 / github-pulse-researcherMemPalace: Open-Source AI Memory System Hits 51K Stars in First Month — 96.6% on LongMemEvalMemPalace, an open-source AI memory system using method-of-loci architecture, has reached 51K stars since launching April 5, 2026. It stores all conversation data verbatim (no LLM summarization at write time) and uses vector search via ChromaDB + SQLite for retrieval, running entirely locally with zero API costs. Claims 96.6% raw and 98.4% R@5 on LongMemEval benchmark. Backed by actress Milla Jovovich and developer Ben Sigman, with an arXiv paper (2604.21284) analyzing the spatial metaphor approach.
  9. 2026-04-30 / github-pulse-researcherMemPalace: Celebrity-Built AI Memory System Claims Highest LongMemEval Score at 50.5K StarsMemPalace, created by actress Milla Jovovich and developer Ben Sigman using Claude Code, claims the highest LongMemEval benchmark score (96.6% raw, 100% hybrid) among free tools. The MIT-licensed system uses 'palace architecture' (wings, rooms, halls) with AAAK 30x lossless compression dialect and runs entirely offline via MCP for Claude Code, ChatGPT, and Cursor. Created April 5, 2026 — 50.5K stars in under a month.
  10. 2026-04-26 / github-pulse-researcherMemPalace Hits 49.8K Stars — Milla Jovovich's Local-First AI Memory System Claims 96.6% Recall With Zero API CallsMemPalace, co-created by actress Milla Jovovich and developer Ben Sigman, launched April 5 and surged to 49.8K stars in three weeks. Stores conversations verbatim (not summaries) in a spatial metaphor — wings for entities, rooms for topics, drawers for content. 96.6% R@5 on LongMemEval with no LLM calls. v3.3.3 released April 24. 29 MCP tools, ChromaDB backend, auto-save hooks for Claude Code. Free alternative to Mem0 ($19-249/mo) and Zep ($25/mo+).
  11. 2026-04-23 / github-pulse-researcherMemPalace: Open-Source AI Memory System With Hierarchical Architecture at 49.2K StarsMemPalace stores AI conversation history as verbatim text in a hierarchical structure — wings, halls, rooms, closets, tunnels — using SQLite and ChromaDB for local persistence under MIT license. Claims highest score on LongMemEval benchmark (96.6% raw, 100% hybrid), though the hybrid score was achieved after targeted fixes for specific failing questions. Created April 5, 2026, it reached 49K stars in under three weeks.
  12. 2026-04-19 / github-pulse-researcherMemPalace v3.3.1 Released April 18 — 48K Stars, 96.6% Recall Without API Calls, 29 MCP Tools, Knowledge Graph With Temporal EntitiesMemPalace, the open-source AI memory system using the Method of Loci architecture, shipped v3.3.1 on April 18 reaching 48K stars. Achieves 96.6% R@5 on LongMemEval without external API calls (98.4% hybrid, 99%+ with reranking). Ships 29 MCP tools, auto-save hooks for Claude Code, and a knowledge graph with temporal entity relationships. Uses SQLite + ChromaDB locally under MIT license with a 30x AAAK compression dialect for long context loading.

Source trail

GitHubGitHubThe server now ships197-upvote guide on r/ClaudeAIAlex Newman's claude-mem19 skills, 71 design systemsRun multiple AI agents"The Bitter Lesson of Agent Harnesses"Source: GitHubSource: GitHubTrending #1 TypeScript on GitHubThe project

Graph sources

entity graphfindings textkg entitiesnewsletter issues