EchoVault Memory

Name: EchoVault Memory
Author: go-ports

by go-portsversion 0.3.3i★ –iRuns on your computer

Registry nameio.github.go-ports/echovault

Install

Overview

Description from the maker (original English)

Local-first memory for coding agents; stores decisions, bugs, and context across sessions.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: MEMORY_HOME

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "echovault": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MEMORY_HOME",
        "ghcr.io/go-ports/echovault:0.3.3"
      ],
      "env": {
        "MEMORY_HOME": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add echovault --env MEMORY_HOME=your-value -- docker run -i --rm -e MEMORY_HOME ghcr.io/go-ports/echovault:0.3.3

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "echovault": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MEMORY_HOME",
        "ghcr.io/go-ports/echovault:0.3.3"
      ],
      "env": {
        "MEMORY_HOME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "echovault": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MEMORY_HOME",
        "ghcr.io/go-ports/echovault:0.3.3"
      ],
      "env": {
        "MEMORY_HOME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

MEMORY_HOME env
Directory where memories are stored. Ensure this path is mounted to persistent storage for data retention across container restarts.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account go-ports, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 4898 servers in this category
Published to the registry more recently than 11% of the other 4898 servers in this category
Basic checks equal to or better than 100% of the other 4898 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is EchoVault Memory safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.3) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

EchoVault — Go

Local memory for coding agents. Your agent remembers decisions, bugs, and context across sessions — no cloud, no API keys, no cost.

Install · Features · How it works · Commands

This is the Go port of EchoVault. It is a single static binary with no Python runtime dependency. The vault format and MCP interface are fully compatible with the Python version — you can switch between them without losing any memories.

Features

Works with 4 agents — Claude Code, Cursor, Codex, OpenCode. One command sets up MCP config for your agent.

MCP native — Runs as an MCP server exposing memory_save, memory_search, and memory_context as tools. Agents call them directly — no shell hooks needed.

Local-first — Everything stays on your machine. Memories are stored as Markdown in ~/.memory/vault/, readable in Obsidian or any editor.

Zero idle cost — No background processes, no daemon, no RAM overhead. The MCP server only runs when the agent starts it.

Hybrid search — FTS5 keyword search works out of the box. Add Ollama or OpenAI for semantic vector search.

Secret redaction — 3-layer redaction strips API keys, passwords, and credentials before anything hits disk. Supports explicit tags, pattern detection, and custom .memoryignore rules.

Cross-agent — Memories saved by Claude Code are searchable in Cursor, Codex, and OpenCode. One vault, many agents.

Obsidian-compatible — Session files are valid Markdown with YAML frontmatter. Point Obsidian at ~/.memory/vault/ and browse your agent's memory visually.

Install

Pre-built binary

Download the latest release for your platform from the releases page and place the binary somewhere on your $PATH.

Build from source

git clone https://github.com/go-ports/echovault.git

cd echovault make build # produces ./bin/memory sudo cp bin/memory /usr/local/bin/

CGO required. The binary links against go-sqlite3 and sqlite-vec, so a C compiler (gcc/clang) must be present. On macOS: xcode-select --install. On Debian/Ubuntu: apt install build-essential.

First run

memory init

memory setup claude-code # or: cursor, codex, opencode

That's it. memory setup installs the MCP server config automatically.

By default the config is installed globally. To install for a specific project:

cd ~/my-project

memory setup claude-code --project # writes .mcp.json in project root memory setup opencode --project # writes opencode.json in project root memory setup codex --project # writes .codex/config.toml + AGENTS.md

Configure embeddings (optional)

Embeddings enable semantic search. Without them, you still get fast keyword search via FTS5.

Generate a starter config:

memory config init

This creates ~/.memory/config.yaml with sensible defaults:

embedding:

provider: ollama # ollama | openai | openrouter model: nomic-embed-text

context: semantic: auto # auto | always | never topup_recent: true

What each section does:

`embedding` — How memories get turned into vectors for semantic search. ollama runs locally; openai and openrouter call cloud APIs. nomic-embed-text is a good local model for Ollama.
`context` — Controls how memories are retrieved at session start. auto uses vector search when embeddings are available, falls back to keywords. topup_recent also includes recent memories so the agent has fresh context.

For cloud providers, add api_key under the provider section. API keys are redacted in memory config output.

Configure memory location

By default, EchoVault stores data in ~/.memory.

You can change that in two ways:

MEMORY_HOME=/path/to/memory (highest priority, per-shell/per-process)
memory config set-home /path/to/memory (persistent default)

Useful commands:

memory config set-home /path/to/memory

memory config clear-home memory config

memory config shows both memory_home and memory_home_source (env, config, or default).

The --memory-home global flag overrides everything for a single invocation:

memory --memory-home /tmp/test-vault search "authentication"

Usage

Once set up, your agent uses memory via MCP tools:

Session start — agent calls memory_context to load prior decisions and context
During work — agent calls memory_search to find relevant memories
Session end — agent calls memory_save to persist decisions, bugs, and learnings

The MCP tool descriptions instruct agents to save and retrieve automatically. No manual prompting needed in most cases.

You can also use the CLI directly:

memory save --title "Switched to JWT auth" \

--what "Replaced session cookies with JWT" \ --why "Needed stateless auth for API" \ --impact "All endpoints now require Bearer token" \ --tags "auth,jwt" --category "decision" \ --details "Context: Options considered:

Keep session cookies
Move to JWT

Decision: Tradeoffs: Follow-up:"

memory search "authentication" memory details memory context --project

For long details, use --details-file notes.md. To scaffold structured details automatically, use --details-template.

How it works

~/.memory/

├── vault/ # Obsidian-compatible Markdown │ └── my-project/ │ └── 2026-02-01-session.md ├── index.db # SQLite: FTS5 + sqlite-vec └── config.yaml # Embedding provider config

Markdown vault — one file per session per project, with YAML frontmatter
SQLite index — FTS5 for keywords, sqlite-vec for semantic vectors
Compact pointers — search returns ~50-token summaries; full details fetched on demand
3-layer redaction — explicit tags, pattern matching, and .memoryignore rules

Supported agents

Agent	Setup command	What gets installed
Claude Code	`memory setup claude-code`	MCP server in `.mcp.json` (project) or `~/.claude.json` (global)
Cursor	`memory setup cursor`	MCP server in `.cursor/mcp.json`
Codex	`memory setup codex`	MCP server in `.codex/config.toml` + `AGENTS.md` fallback
OpenCode	`memory setup opencode`	MCP server in `opencode.json` (project) or `~/.config/opencode/opencode.json` (global)

All agents share the same memory vault at your effective memory_home path (default ~/.memory/). A memory saved by Claude Code is searchable from Cursor, Codex, or OpenCode.

Commands

Command	Description
`memory init`	Create vault at effective memory home
`memory setup`	Install MCP server config for an agent
`memory uninstall`	Remove MCP server config for an agent
`memory save ...`	Save a memory (`--details-file` and `--details-template` supported)
`memory search "query"`	Hybrid FTS + semantic search
`memory details`	Full details for a memory
`memory delete`	Delete a memory by ID or prefix
`memory context --project`	List memories for current project
`memory sessions`	List session files
`memory config`	Show effective config
`memory config init`	Generate a starter config.yaml
`memory config set-home`	Persist default memory location
`memory config clear-home`	Remove persisted memory location
`memory reindex`	Rebuild vectors after changing provider
`memory mcp`	Start the MCP server (stdio transport)

Global flags

Flag	Description
`--memory-home`	Override memory home for this invocation
`--help`	Show help for any command

Uninstall

memory uninstall claude-code   # or: cursor, codex, opencode

rm /usr/local/bin/memory

To also remove all stored memories: rm -rf ~/.memory/

Privacy

Everything stays local by default. If you configure OpenAI or OpenRouter for embeddings, those API calls go to their servers. Use Ollama for fully local operation.

License

MIT — see LICENSE.

EchoVault Memory

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Features

Install

Pre-built binary

Build from source

First run

Configure embeddings (optional)

Configure memory location

Usage

How it works

Supported agents

Commands

Global flags

Uninstall

Privacy

License