ReasoningBank with AgentDB

Initialize AgentDB for adaptive learning from past agent experiences.

2|Updated Jan 25, 2026

Search Tags:#decision making #vector database #adaptive learning #reinforcement learning #experience replay #agent memory

Ready to run

npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill reasoningbank-with-agentdb-earthmanweb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ReasoningBank with AgentDB
Source: https://github.com/EarthmanWeb/claude-flow-plugin/tree/main/.claude/skills/reasoningbank-agentdb
Command: npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill reasoningbank-with-agentdb-earthmanweb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI agents to learn adaptively from their experiences, significantly improving decision-making and performance over time by leveraging a high-speed vector database.

Core Features & Use Cases

Adaptive Learning: Agents learn from past successes and failures to refine future actions.
High-Performance Database: Utilizes AgentDB for 150x faster pattern retrieval and near real-time memory access.
Use Case: Building a self-optimizing trading bot that learns from market data and past trade outcomes to make better investment decisions.

Quick Start

Initialize the AgentDB for ReasoningBank by running npx agentdb@latest init ./.agentdb/reasoningbank.db --dimension 1536.