MCP server that exposes Schift memory (Gmail/Notion/Slack/Linear/GitHub/...) to Claude Code, Cursor, ChatGPT, Gemini and other LLMs.
Storage, memory and knowledge management for agents.
MCP server that exposes Schift memory (Gmail/Notion/Slack/Linear/GitHub/...) to Claude Code, Cursor, ChatGPT, Gemini and other LLMs.
Facebook MCP server and CLI for Claude Code, Codex and AI agents. 15 tools for posting, scheduling, drafts, Page and post insights, and comment moderation through Meta's official Graph API.
让 Agent 具备自我成长、复盘与技能进化能力的插件
MCP server for MemoryRelay - persistent memory for AI agents
Governed graph-native agent memory: knowledge extraction, fusion, hybrid RAG, scoped access tokens.
Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.
CarpeOS CLI and local MCP server — capture context, compound knowledge.
User story map + kanban with a live browser UI; AI agents and humans plan the same backlog via MCP.
Spine — repository architecture with file-level proof: graph, paths, traces, and impact.
Pi extension: run the crib (cribsheet) memory + code-index MCP server via sharedserver, inject the reach-for-crib directive, and ship the /crib recall command. Pairs with pi-mcp-adapter.
Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, aligned with Bedrock AgentCore Memory.
Persistent memory layer for Stellar/Soroban projects. Scans your repo, links code to on-chain reality, and serves the result to you and to your AI agents over MCP.
Persistent episodic memory for AI coding: capture, retrieve, brief, dream cycle, cross-project.
Unicode-aware, session-based MCP server for structured reasoning
Incremental code-graph MCP server and blast-radius engine for AI coding agents
Give your AI tool (Claude Code, Codex, Gemini CLI, Cursor) a memory you control: an MCP server that asks your Engram vault and holds no keys
MCP server for Memento persistent memory system. Server name: memento. Tools: mem_*. Includes AI skill for teaching agents.
Memory for AI agents: persistent L1/L2/L3, web-search savings, thread memory.
Local AgentOps for AI coding agents: durable memory, guardrails, and quality gates for vibe coding in real repositories.
Memory-enabled Co-Pilot (MCP) server for managing project documentation and context