By aitytech
Persist AI agent memory across coding sessions via local MCP server, saving decisions, patterns, errors, and context. Recall project history token-efficiently with 3-layer search workflow. Automate memory ops via hooks on session events, tool uses, and Python/bash scripts.
npx claudepluginhub aitytech/agentkits-memory --plugin agentkits-memoryPersistent memory system enabling AI coding assistants (Claude, Cursor, Copilot) to maintain context across sessions.
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Persistent memory for AI coding agents. Survives across sessions and compactions.
Persistent memory for Claude Code - store decisions, patterns, and context across sessions
Auto-capture high-signal coding context into memctl memory
Persistent memory system for AI coding sessions — cross-tool memory sharing with 6-dimensional hybrid search
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Share bugs, ideas, or general feedback.
by AityTech
Persistent Memory System for AI Coding Assistants
Your AI assistant forgets everything between sessions. AgentKits Memory fixes that.
Decisions, patterns, errors, and context — all persisted locally via MCP.
Website • Docs • Quick Start • How It Works • Platforms • CLI • Web Viewer
English · 简体中文 · 日本語 · 한국어 · Español · Deutsch · Français · Português · Tiếng Việt · Русский · العربية
| Feature | Benefit |
|---|---|
| 100% Local | All data stays on your machine. No cloud, no API keys, no accounts |
| Blazing Fast | Native SQLite (better-sqlite3) = instant queries, zero latency |
| Zero Config | Works out of the box. No database setup required |
| Multi-Platform | Claude Code, Cursor, Windsurf, Cline, OpenCode — one setup command |
| MCP Server | 9 tools: save, search, timeline, details, recall, list, update, delete, status |
| Auto-Capture | Hooks capture session context, tool usage, summaries automatically |
| AI Enrichment | Background workers enrich observations with AI-generated summaries |
| Vector Search | sqlite-vec semantic similarity with multilingual embeddings (100+ languages) |
| Web Viewer | Browser UI to view, search, add, edit, delete memories |
| 3-Layer Search | Progressive disclosure saves ~87% tokens vs fetching everything |
| Lifecycle Mgmt | Auto-compress, archive, and clean up old sessions |
| Export/Import | Backup and restore memories as JSON |
Session 1: "Use JWT for auth" Session 2: "Add login endpoint"
┌──────────────────────────┐ ┌──────────────────────────┐
│ You code with AI... │ │ AI already knows: │
│ AI makes decisions │ │ ✓ JWT auth decision │
│ AI encounters errors │ ───► │ ✓ Error solutions │
│ AI learns patterns │ saved │ ✓ Code patterns │
│ │ │ ✓ Session context │
└──────────────────────────┘ └──────────────────────────┘
│ ▲
▼ │
.claude/memory/memory.db ──────────────────┘
(SQLite, 100% local)
npx @aitytech/agentkits-memory configures your platformmemory_search → memory_details) to find past contextAll data stays in .claude/memory/memory.db on your machine. No cloud. No API keys required.
Most memory tools scatter data across markdown files, require Python runtimes, or send your code to external APIs. AgentKits Memory makes fundamentally different choices:
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claim