Topics / #persistent-memory

Persistent-memory projects on GitHub

Durable memory stores that survive restarts for agents and apps.

As of , the most-starred Persistent-memory projects on GitHub are EverOS (13.5K stars), capsule-memory (8.4K stars) and gentle-ai (7.8K stars). GitHub.Locker tracks 7 Persistent-memory repositories with 36.9K stars combined. The fastest-growing on October 16 was obsidian-mind, with +22 stars in a day.

7Projects
36.9KStars in total
+57Stars in a day
Browse in the catalog →github.com/topics/persistent-memory ↗

Hot right now

Most stars gained in a day · Oct 16

+22

obsidian-mind

breferrari/obsidian-mind · ★ 5.4K

Obsidian Mind is a self-organizing Obsidian vault template that gives AI coding agents like Claude Code persistent memory: it stores notes, decisions, and context as markdown files so every session builds on the last instead of starting from zero.

+12

EverOS

EverMind-AI/EverOS · ★ 13.5K

EverOS is a local-first, Markdown-native memory layer for AI agents: it stores conversations, files, and agent trajectories as readable Markdown, then syncs local SQLite and LanceDB indexes so any coding assistant, app, or workflow can retrieve and keep building on the same persistent memory.

+12

gentle-ai

Gentleman-Programming/gentle-ai · ★ 7.8K

Gentle-AI configures the AI coding agent you already have installed (Claude Code, Cursor, OpenCode, Codex, Pi, and more) by adding persistent memory, a curated skill library, MCP tool servers, a teaching-oriented persona, and an optional evidence-based review step.

+7

okf-agent-memory

okf-memory/okf-agent-memory · ★ 814

OKF Agent Memory is a Git-native persistent memory layer for AI coding agents: it stores architectural decisions and project knowledge as plain Markdown files with YAML frontmatter directly in your repository, following the Open Knowledge Format (OKF) v0.2 spec, so context survives across sessions instead of vanishing when the context window closes.

The all-time top

7 projects · by stars

  1. #1 · EverMind-AI/EverOS

    EverOS

    EverOS is a local-first, Markdown-native memory layer for AI agents: it stores conversations, files, and agent trajectories as readable Markdown, then syncs local SQLite and LanceDB indexes so any coding assistant, app, or workflow can retrieve and keep building on the same persistent memory.

    13.5K
  2. #2 · unicity-aos/capsule-memory

    capsule-memory

    It is a 'capsule' (plugin) for Astrid OS / Unicity AOS agents that gives them cross-session memory: it reads a local memory file from the workspace and injects its content into the system prompt so the agent remembers what happened in previous sessions.

    8.4K
  3. #3 · Gentleman-Programming/gentle-ai

    gentle-ai

    Gentle-AI configures the AI coding agent you already have installed (Claude Code, Cursor, OpenCode, Codex, Pi, and more) by adding persistent memory, a curated skill library, MCP tool servers, a teaching-oriented persona, and an optional evidence-based review step.

    7.8K
  1. 4

    obsidian-mind

    5.4Kbreferrari/obsidian-mind · TypeScript

    Obsidian Mind is a self-organizing Obsidian vault template that gives AI coding agents like Claude Code persistent memory: it stores notes, decisions, and context as markdown files so every session builds on the last instead of starting from zero.

  2. 5

    okf-agent-memory

    814okf-memory/okf-agent-memory · Go

    OKF Agent Memory is a Git-native persistent memory layer for AI coding agents: it stores architectural decisions and project knowledge as plain Markdown files with YAML frontmatter directly in your repository, following the Open Knowledge Format (OKF) v0.2 spec, so context survives across sessions instead of vanishing when the context window closes.

  3. 6

    memcode

    603memcode-in/memcode · TypeScript

    MemCode is memory infrastructure for AI: it gives agents, copilots, applications and workflows persistent memory that survives sessions, context windows, and even model changes.

  4. 7

    dsh-memory

    402FuRongJun-1999/dsh-memory · Python

    dsh-memory is a memory plugin for DeepSeek Harness (DSH) that gives AI agents persistent, cross-session memory built on a mostly non-LLM 'white-box' reasoning pipeline, a spatiotemporal knowledge graph, and auditable guardrails. It targets AGI research into self-cognition, continual learning, world models and self-improvement rather than everyday chat memory.

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