context MCP servers & tools

Private-by-default memory and context layer for agents with Go/Rust runtime, staged retrieval across fused data backends, and long-horizon context continuity.

An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.

Session memory, context health monitoring, reasoning quality, and truthfulness verification MCP server with 37 tools and tiered memory storage. npx -y context-first-mcp

Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport.

A persistent, connected memory of your world your AI can read and write in any chat.

Offline persistent memory for AI coding agents — 37 tools, 80% fewer calls, no LLM

Long-term memory for AI agents: durable records, observable retrieval, governed context assembly.

Durable, versioned memory for AI assistants: save, checkpoint, and retrieve context by stable URL.

Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.

MCP server for Bear notes — read, search, create, edit, tag, and manage notes via CloudKit

Local-first AI context and memory server for cross-tool coding continuity.

Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.

MCP server for a project's context (AGENTS.md), memory, and identity — base or drop-in extension.

MCP server for md.md - provides team knowledge context to AI assistants

AI continuity and memory hub for portable context, checkpoints, and cross-AI memory.

Persistent memory for AI coding agents. #1 on LongMemEval. 26 MCP tools. Local-first.

Context selection and compression for AI agents - recall measured, not claimed.

What fills your agent's context window before a session starts: skill descriptions, memory files.

Search hub knowledge and memories, read saved context, and create or update hub content.

Persistent memory for AI agents: L1/L2/L3, web compression, threads.