Which integrations are available for this server?

Projects persistent memory facts into an Obsidian vault, allowing users to view and navigate their memory notes in Obsidian and refresh the vault through the memory sync tool.

1. Click on "Deploy Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@With remember that the team meeting moved to Tuesdays" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

English · 中文

With.

Things that stay with you.

With is a persistent memory layer for your harness.

The source of truth is an owned SQLite file on your machine. People look at an Obsidian vault. Every tool talks to the same CLI or stdio MCP. Facts are invalidated, not deleted.

The product is With. The command is still eric-memory, so existing installs keep working.

Stay

A current fact is active. A retired fact is deprecated plus superseded_by. Default search does not treat history as current. Nothing is erased to make a new present.

That is the whole philosophy, in one line: leave what was true, and write what is true now.

Related MCP server: light-agent-memory-mcp-server

Architecture

flowchart TB
  quest[Install_or_daily_quest]
  cli[CLI_and_MCP]
  store[Owned_SQLite]
  vault[Obsidian_projection]
  harness[Registered_harness]
  quest --> cli
  harness --> cli
  cli --> store
  store --> vault

No app. No cloud. No login daemon. No admin rights. Zero third-party runtime packages. Python 3.10+ is enough.

Two tiers

Tier	Who	How
Simple	Anyone installing on their own machine	Paste `quests/en/install.md` into the AI you already use. Then open the Obsidian home note. Run the daily quest when you want the vault refreshed.
Full	Maintainers	The same, plus a read-only Holograph import, tests, and adapters.

Guides: Introduction · Simple · Full · CLI and MCP · Windows / Linux

Chinese copies live next to them in docs/ and quests/.

Install

python3 -m unittest discover -s tests -q
python3 scripts/repo_check.py
python3 bin/eric-memory --version
python3 bin/eric-memory --data-dir "$HOME/eric-memory-data" init --tier simple
python3 bin/eric-memory --data-dir "$HOME/eric-memory-data" status

On Windows use py -3 and %USERPROFILE%\eric-memory-data. Expand ~ once at init. After that, only absolute paths.

Or skip the terminal: give quests/en/install.md to your harness and answer the questionnaire.

The data directory never enters Git.

Official surface

Action	CLI	MCP
Initialize	`init`	(once, from the install quest)
Status	`status`	`memory_status`
Write	`add`	`memory_add`
Search	`search`	`memory_search`
Invalidate	`deprecate`	`memory_deprecate`
Sync	`sync`	`memory_sync`
Import	`import holograph --source …`	`memory_import`
Index a folder	`index-files`	`memory_index_files`
Register a tool	`harness add`	`memory_harness_add`
List registered tools	`harness list`	`memory_harness_list`

Do not INSERT into memory.db by hand. The contract is skills/严格技能.md. A Cursor template is .cursor/mcp.json.example.

What v1 will not do

Use Mem0, Graphiti, Cognee, or Supermemory as the kernel
Treat Obsidian as the source of truth
Scan the whole disk in silence
Treat a vendor leaderboard as acceptance
Ship a client zip, a cloud, or a background service

License

MIT

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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