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AgentDB Vector Search

80 / 100 · Low risk

Fine to try.

By plurigrid/asi (GitHub) · other · 72 stars · scanned at commit 293ce9f

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'agentdb-vector-search' ] || [ -L ~/.agents/skills/'agentdb-vector-search' ]; then echo 'A skill folder named agentdb-vector-search already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/plurigrid/asi' "$d" && git -C "$d" checkout --quiet '293ce9f76e3abcd5ba18db284688bc0d9ac6691d' -- 'skills/agentdb-vector-search' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/agentdb-vector-search' ~/.agents/skills/'agentdb-vector-search' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'agentdb-vector-search' ~/.claude/skills/'agentdb-vector-search' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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