mcp-memory-keeper and memora
These are competitors offering overlapping solutions for persistent agent memory, with Memora providing more sophisticated semantic storage and knowledge graph capabilities while MCP Memory Keeper focuses on simpler context management for coding assistants.
About mcp-memory-keeper
mkreyman/mcp-memory-keeper
MCP server for persistent context management in AI coding assistants
Provides a SQLite-backed persistent memory layer using the Model Context Protocol (MCP), enabling Claude to save and restore context across sessions through channels (auto-derived from git branches), checkpoints, and typed relationships between stored items. Integrates with Claude Code via stdio transport and includes batch operations, smart compaction, full-text search, and real-time change tracking to preserve architectural decisions and progress without manual intervention.
About memora
agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
Implements a Model Context Protocol (MCP) server with pluggable embedding backends (OpenAI, sentence-transformers, TF-IDF) and multi-tiered storage—local SQLite, Cloudflare D1, or S3/R2 with optional encryption and compression. Features include interactive knowledge graph visualization, RAG-powered chat with streaming LLM tool calling, event notifications for inter-agent communication, and automated memory deduplication via LLM comparison. Integrates with Claude Code and Codex CLI through stdio or HTTP transports.
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