Type

Tag “mcpserver #agents #workflowautomation #memory #mcpservers” — 9

lanonasis-mcp

smithery.ai

Manage long-term memory across projects with fast semantic search and retrieval. Create, update, and organize memories, then query them to ground your workflows with relevant context. Control API keys and configuration, monitor system status, and instantly search the LanOnasis docs when you need guidance.

MCP server MCP servers Command line

AiAkiv Memory

aiakiv.com

Shared long-term memory for AI agents: save and recall context as a searchable knowledge graph.

MCP server MCP servers Command line

com.vibsync/vibsync

vibsync.com

One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.

MCP server MCP servers Command line

Concord MCP

getconcord.ai

Cross-harness communication and shared work-state for AI coding agents.

MCP server MCP servers Command line

Open & Async

open-and-async.com

Draft decision docs, turn meetings into async artifacts, and triage sync vs async in your editor.

MCP server MCP servers Command line

mcp-crewd-rs

dev.mmmbuto.com

Cell fabric daemon: spawn and coordinate Claude/Codex/pi worker cells over MCP. Audited.

MCP server MCP servers Command line

WAKE Protocol

omodaka9375.github.io

A post-mortem succession protocol for AI agents. Black Box, handoff, time-locks.

MCP server MCP servers Command line

knownbase

smithery.ai

Knownbase gives AI agents durable, structured project memory that persists across sessions, tools, and workflows. Through MCP, agents can store and retrieve Markdown-based knowledge such as architecture decisions, debugging discoveries, implementation details, handoffs, project facts, and ongoing work. Notes can be organized by project, tags, status, and structured metadata, then searched efficiently using full-text queries and incremental last-modified filtering. Knownbase

MCP server MCP servers Command line

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