ReasoningBank MCP Server

Example Use Cases

• 1

  Retrieve relevant past experiences to guide current complex tasks.

• 2

  Extract and store reasoning trajectories from task executions for future learning.

• 3

  That require multi-tenant memory isolation and asynchronous memory management.

Description

ReasoningBank MCP Server implements a memory-augmented reasoning system based on the ReasoningBank paper, enabling AI agents to extract, retrieve, and manage reasoning experiences from past successes and failures. It supports multi-tenant memory isolation, asynchronous processing, multiple LLM providers, and intelligent memory management features like semantic deduplication and LLM-driven merging. This system helps agents self-evolve by leveraging accumulated knowledge to improve task performance over time.