Does this work with Claude Code via MCP?

Yes, it includes native support for the Model Context Protocol (MCP), enabling Claude Code to interact directly with the AgentDB backend through a standardized interface.

What is memory distillation in this context?

Memory distillation is the process of consolidating multiple similar experiences into a single, high-level pattern to improve agent efficiency and reduce storage noise.

What is ReasoningBank with AgentDB?

It is a skill that adds adaptive learning capabilities to agents, allowing them to store, retrieve, and learn from past experiences using a high-speed vector database.

How much faster is AgentDB compared to legacy systems?

AgentDB offers up to 150x faster pattern retrieval and 500x faster batch operations, with memory access times typically under 1ms.

Is this skill compatible with existing ReasoningBank implementations?

Yes, it provides 100% backward compatibility, allowing you to migrate legacy memory databases easily using the provided CLI tools.

ReasoningBank with AgentDB

Name: ReasoningBank with AgentDB
Author: EarthmanWeb

byEarthmanWeb

•

Data Science & ML

Implement high-performance adaptive learning and memory distillation for autonomous agents using AgentDB's ultra-fast vector architecture.

This skill integrates the ReasoningBank adaptive learning framework with AgentDB, providing a high-performance backend for AI agents to learn from experience. It enables trajectory tracking, automated outcome judgment, and memory distillation to transform raw agent actions into reusable patterns. By leveraging AgentDB's 150x faster retrieval speeds, developers can build self-improving agentic workflows that optimize decision-making over time while maintaining full backward compatibility with legacy systems and providing native MCP support for Claude Code.

Key Features

01High-performance vector database with <1ms memory access

02Trajectory tracking to record and analyze agent execution paths

03Memory distillation for consolidating experiences into high-level patterns

04Automated verdict judgment to evaluate task success and failure

05Native MCP protocol support for seamless Claude Code integration

062 GitHub stars

Use Cases

01Building self-learning autonomous agents that improve with every task

02Migrating legacy agent memory systems to high-speed vector storage

03Optimizing complex decision-making workflows via experience replay

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add earthmanweb/claude-flow-plugin reasoningbank-agentdb

For use in Claude.ai and ChatGPT

Download Skill