Provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install aister-vector-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install aister-vector-memoryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/aister-vector-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Aister vector-memory can do for your AI workflow
Semantic vector search over directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Aister vector-memory
Help me get started with Aister vector-memory
Explains what Aister vector-memory does, walks through the setup, and runs a quick demo based on your current project
Use Aister vector-memory to semantic vector search over Aister's memory using PostgreSQL and e5...
Invokes Aister vector-memory with the right parameters and returns the result directly in the conversation
What can I do with Aister vector-memory in my documents & notes workflow?
Lists the top use cases for Aister vector-memory, with example commands for each scenario
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Aister vector-memory extends your AI assistant with the ability to provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Aister vector-memory as its underlying capability.
Aister vector-memory works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Aister vector-memory once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Aister vector-memory installs like any other MCP skill: drop the folder into `~/.claude/skills/aister-vector-memory/` for global access, or `.claude/skills/aister-vector-memory/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/aister-vector-memory`, or let the AI decide when it's the right tool for your request.
Aister vector-memory has 879 installs and is part of the growing Documents & Notes skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/aister-vector-memory/ for personal use (all projects), or .claude/skills/aister-vector-memory/ for project-specific use. Restart your AI client, then invoke with /aister-vector-memory or let the AI discover it automatically.
Aister vector-memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Aister vector-memory is free to install. Check the repository for licensing information.
Provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English.
Links
Automate my documents & notes tasks using Aister vector-memory
Identifies repetitive steps in your workflow and sets up Aister vector-memory to handle them automatically
Aister vector-memory is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.