AgentCrew and mode-manager-mcp
These are ecosystem siblings—mode-manager-mcp provides a VS Code-integrated instruction and memory management layer that could enhance the multi-agent orchestration capabilities of a chat application like AgentCrew by standardizing agent behavior and context across MCP servers.
About AgentCrew
saigontechnology/AgentCrew
Chat application with multi-agents system supports multi-models and MCP
Supports both **transfer mode** (sequential task handoff with full context carry-over) and **delegate mode** (parallel task dispatch returning results as tool output), alongside MCP protocol integration, web search, file editing, browser automation, and memory systems. Built on an agent specialization architecture where tasks route to specialized agents, with parallel execution of safe tools via `asyncio.gather`. Integrates Claude, GPT, Gemini, GitHub Copilot, and custom providers, plus exposes agents as HTTP services via the A2A protocol for distributed multi-system collaboration.
About mode-manager-mcp
NiclasOlofsson/mode-manager-mcp
MCP Memory Agent Server - A VS Code chatmode and instruction manager with library integration
Implements a three-tier memory architecture (personal, workspace, and language-specific) using persistent Markdown files with YAML frontmatter, enabling context-aware AI assistance across VS Code projects. Operates as an MCP server via stdio transport, integrating directly with GitHub Copilot through natural language commands—users store knowledge by simply saying "remember" without configuration overhead. Automatically optimizes and consolidates memories to maintain efficiency while sharing team knowledge through `.github/instructions` directories for distributed onboarding and consistency.
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