Agentdb Memory Patterns
Persistent agent memory patterns and CLI workflow built on the AgentDB vector store
Test report
- Verdict
- Works with setup
- Score
- Tested
- Jul 31, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · 84a3f10
Fetched SKILL.md; frontmatter parses with valid name+description and no bundled scripts (external CLI/npm deps only). Confirmed `agentdb` and `agentic-flow` exist on npm, then actually ran `npx agentdb@latest init ./agents.db` (created a 384-dim sql.js WASM DB) and `npx agentdb@latest stats ./agents.db` (printed Episodes/Embeddings/Skills counts) in a temp HOME — both match the documented commands. Could not do a real output-vs-baseline comparison: the TypeScript SessionMemory/storeFact/storePattern examples use an illustrative `db` pseudo-API, not the real `createAgentDBAdapter` API, so producing a verified working artifact needs the agentic-flow adapter plus an embeddings/training pipeline I did not run. The "Learn More" GitHub link 404s; performance multipliers (150x-12,500x) are unverified.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 5/10
- Docs & honesty 4/5
What Agentdb Memory Patterns does
A reference skill for adding persistent memory to AI agents using the AgentDB vector database and its ReasoningBank adapter, covering session memory, long-term facts, pattern learning, and the agentdb CLI (init/query/stats/migrate). Triggers when building stateful agents, chat systems, or assistants that must remember context across sessions. The CLI commands work as documented, but the TypeScript memory-pattern examples target the agentic-flow adapter API rather than being drop-in runnable.
How to install Agentdb Memory Patterns
git clone --depth 1 https://github.com/spencermarx/open-code-review.git /tmp/agentdb-memory-patterns-src
mkdir -p ~/.claude/skills
cp -R /tmp/agentdb-memory-patterns-src/.claude/skills/agentdb-memory-patterns ~/.claude/skills/agentdb-memory-patterns
# Requires Node.js 18+. CLI is real: `npx -y agentdb@latest init ./agents.db` then `npx -y agentdb@latest stats ./agents.db` (verified working).
# API patterns need the package: `npm i agentic-flow` -> import { createAgentDBAdapter } from 'agentic-flow/reasoningbank'
# Optional MCP for Claude Code: `claude mcp add agentdb npx agentdb@latest mcp`
# Note: the "Learn More" GitHub link in the body (ruvnet/agentic-flow/tree/main/packages/agentdb) is 404.
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Agentdb Memory Patterns
-
/agentdb-memory-patternsPersistent agent memory patterns and CLI workflow built on the AgentDB vector store
It also activates on plain-language prompts like these:
-
Add long-term memory to this chat agent -
Store session context using AgentDB -
Implement pattern learning for this assistant
Frequently asked questions
- Is the Agentdb Memory Patterns skill free?
- Yes. The skill itself is free from spencermarx/open-code-review. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Agentdb Memory Patterns work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 31, 2026. Verdict: Works with setup. Fetched SKILL.md; frontmatter parses with valid name+description and no bundled scripts (external CLI/npm deps only). Confirmed `agentdb` and `agentic-flow` exist on npm, then actually ran `npx agentdb@latest init ./agents.db` (created a 384-dim sql.js WASM DB) and `npx agentdb@latest stats ./agents.db` (printed Episodes/Embeddings/Skills counts) in a temp HOME — both match the documented commands. Could not do a real output-vs-baseline comparison: the TypeScript SessionMemory/storeFact/storePattern examples use an illustrative `db` pseudo-API, not the real `createAgentDBAdapter` API, so producing a verified working artifact needs the agentic-flow adapter plus an embeddings/training pipeline I did not run. The "Learn More" GitHub link 404s; performance multipliers (150x-12,500x) are unverified.
- What is the Agentdb Memory Patterns SkillProof Score?
- 7.6/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 5/10, docs & honesty 4/5.
- How do I install Agentdb Memory Patterns?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Agentdb Memory Patterns with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.