Epiphany MCP server
io.github.GATSV-tech/epiphany·v0.5.0·1 starsOne private, local memory your AI tools share. Cross-model, on-device, never lose a session.
1 stars22 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Epiphany tools (2)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
recallSearch the user's personal brain by meaning and return the most relevant memories. The brain holds facts about the user AND about their projects, products, plans, and history. Check here FIRST, before web search, for any question that could concern the user's own life or work.
rememberSave a thought to the user's personal brain. Capture REASONING, not just a bullet: write what was decided AND why, and the choices behind it, so another model could understand and reason with it later. Then wire it into the graph with `connections`, using memory ids from recall (e.g. this decision `because` #12, this `builds_on` #7). That is what turns memories into thought-strings.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- Code scan3 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 54 days ago12/15
- Maintainer identityregistry namespace matches repository owner6/10
How Epiphany compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 73% of 4,460 AI and agents servers
- Tools
- 2
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
- Downloads a week
- 22
- more than 8% of 1,538 AI and agents servers with a package
What its tools let an agent do: 2 read
Install Epiphany in Claude Code, Cursor or VS Code
Runs npx -y epiphany-mcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add epiphany -- npx -y epiphany-mcp
What the publisher says
From the Epiphany repository's README, as published. We do not edit it. Read it on GitHub
Epiphany
One private, local memory your AI tools share.
Every AI you use forgets you the moment the chat ends. You re-explain the same context over and over, and when a session dies, the reasoning behind it is gone for good. Epiphany fixes that. It's a single memory that lives on your machine, that Claude, Grok, Gemini, and more all read from and write to, so what you tell one, the others already know.
- Local-first. Your brain is a file on your disk. Nothing leaves the machine. No account, no cloud, no company owns your memory.
- Cross-model. One shared memory across Claude (Desktop + Code), Grok, Gemini, Cursor, Antigravity, Warp, Hermes, and Perplexity. Tell Grok something, ask Claude about it.
- Real memory, not bullet points. Thoughts carry their reasoning and connect into a graph, so recall returns why something is true and what it followed from, not a lone fact. Ask a follow-up and it holds the thread.
- Never lose a session. A background watcher reads the transcripts your tools already write to disk and files every session into the brain in near-real-time, even ones that crashed before anything was saved.
How it works
Epiphany is a local MCP server plus a tiny CLI.
- It runs a small server on your machine that exposes two tools to any AI client: recall and remember.
- epiphany connect wires that server into each AI tool, in the tool's own config format, and installs a standing rule so the agent reaches for your memory on its own.
- Memories are embedded on-device (a local model, nothing sent anywhere) and stored in SQLite. Agents wire explicit reasoning connections between thoughts (because, buildson, partof, ...), and recall walks that graph to reconstruct the whole thought-string.
- A background watcher sees your tools' session logs the moment they change and sweeps them into the brain, so nothing is ever lost.
The intelligence stays in the models you already use. The brain itself is a fast, private librarian: it holds, connects, and recalls. It never phones home.
Quickstart
Requires Node 18+.
npm install -g epiphany-mcp # puts the `epiphany` command on your PATHOr build from source:
git clone https://github.com/GATSV-tech/epiphany.git
cd epiphany
npm install
npm run build
npm linkWire it into the tools you use, then fully restart each one:
epiphany connect claude-code
epiphany connect grok
epiphany connect gemini
epiphany list # see all supported toolsTurn on the background "never lose a session" sweep:
epiphany scheduleThat's it. Now talk to any connected AI. It will recall what you've told the others and save what's worth keeping, on its own.
Run epiphany with no arguments any time to open the dashboard and look inside your brain.
Supported tools
Commands
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Epiphany: common questions
- Is Epiphany MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Epiphany safety report
- How do I install Epiphany?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Epiphany need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Epiphany maintained?
- The last commit was 95 days ago (2026-08-01). The latest release is v0.5.0.
- What can I use instead of Epiphany?
- Servers from other publishers that do the same job: agent-device MCP server, agent-device MCP server and Basic Memory MCP server.
- How does Epiphany compare with other AI and agents MCP servers?
- safety score 85/100 (higher than 73% of 4,460 AI and agents servers); tools 2 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Epiphany
Same job from other publishers: the closest match first, then the best rated.
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- agent-deviceOpen source device layer for AI agents: control mobile, web, TV, and desktop apps over MCPnot reviewedWidely usedA
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- MemantoMCP server for Memanto - persistent semantic memory for any MCP-compatible agentnot reviewedEstablishedA