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@iflow-mcp/human-re_aline

v0.5.3

Published

Aline MCP Server - AI Agent Chat Session Tracker

Readme

Aline MCP Server

Shared AI memory; everyone knows everything in teams

Aline maintains a persistent memory layer for you and your team, your agent context stays consistent across sessions, models, and teammates.

It automatically commits your progress as you interact with the agent, and syncs that context when you push to GitHub, so others can see the history and pick up your work seamlessly.

All memory stays local until you choose to share it, and any shared context is fully privacy-protected.


❌ Without aline

❌ Context disappears every session

❌ You repeat background to the agent again and again

❌ Teammates redo work, repeat mistakes, and meeting a lot to stay aligned

❌ Manually ask the agent to summarize progress

✅ With aline

✅ Automatically remembers everything across sessions and models

✅ Shared AI memory for teams, like github

✅ Automatically summarizes and commit progress


One-Command Installation

Claude Code

claude mcp add --scope user --transport stdio aline -- npx -y aline-ai@latest

To verify installation:

claude mcp list

If you see:

aline: npx -y aline-ai@latest  — ✓ Connected

then the installation was successful.

How It Works

Once installed, Aline runs quietly in the background and automatically records everything.

It recalls context when needed, or you can force it by adding “use aline” to your prompt.

When you share your workspace (e.g., push to GitHub), aline includes the recorded memory so the others can continue with full context.

Each project has its own memory, and it doesn’t carry over across projects.

Example Use Case

Anna receives a support ticket:

“On macOS, the screen recorder shows only a black window.”

She asks her agent (e.g., Claude Code): did anyone investigate this on macOS?
aline instantly retrieves Bob’s conversation from last week:

“Bob tested last week, macOS blocks protected windows; use ScreenCaptureKit.”

License

MIT — see LICENSE