Forkscout Memory MCP

Example Use Cases

• 1

  Persistent, structured memory with confidence scoring and belief evolution.

• 2

  Automatic contradiction detection and non-destructive belief revision.

• 3

  Multi-project scoped memory with hybrid semantic and lexical search.

Description

forkscout-memory-mcp is a belief maintenance system designed as an MCP server to provide structured, confidence-weighted facts, non-destructive belief revision, contradiction detection, hybrid semantic and lexical search, multi-dimensional tagging for project isolation, and a knowledge graph with rich relationships. It supports self-identity learning, exchange memory with deduplication, working memory persistence, and active task tracking, enabling AI agents to maintain and evolve knowledge over time across sessions and projects.