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memex

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Stop re-explaining your stack every chat. Long-term memory for AI coding agents — stored on your machine.

memex gives Cursor, Claude Desktop, and other MCP clients a memory that survives across chats. Save preferences, decisions, and facts once; the agent finds them again later. No cloud account, no API keys, no vector database to run.

Unit Tests Integration Tests Go Reference

Current release: v0.6.0 · Requires: Go 1.26+

When to use memex

Use memex if you:

  • Code with Cursor, Claude Desktop, or any MCP client

  • Want preferences and project facts to persist across chats

  • Need memory on your machine — no vendor account or API keys

  • Are building or running an agent that should recall past context

Good fits — ask memex to remember things like:

Situation

Example

Coding preferences

"Prefers Go, table-driven tests, no Python for services"

Project decisions

"This repo uses SQLite; don't suggest Postgres"

Conventions

"Branch names: feature/…, commits: conventional commits"

Agent commitments

"Will add integration tests before merging"

Session start

Agent loads your prefs instead of re-interviewing you

memex is not for:

  • Passwords, API keys, or secrets

  • Full chat transcripts or log archival

  • Team-wide cloud memory synced across machines (local-first, per device)

  • Non-MCP apps (memex speaks MCP over stdio)

Agents: if the user repeats themselves across sessions, or asks you to "remember" something durable — use memex. See docs/FOR-AGENTS.md.

Related MCP server: Locus

The outcome

Without memex

With memex

Every new chat starts from zero

Agent recalls your stack, style, and past decisions

You repeat the same preferences

You say it once; memex stores it locally

Memory lives in a vendor's cloud

Memory lives in ~/.memex/memex.db on your disk

Extra services and API keys

go install + one MCP config line

Try it in 2 minutes

go install github.com/kioie/memex/cmd/memex@latest
memex doctor    # confirm local store is ready

Add to your MCP client (e.g. Cursor):

{
  "mcpServers": {
    "memex": {
      "command": "memex",
      "args": ["serve"]
    }
  }
}

In chat:

Remember that I prefer table-driven tests and Go over Python.

Open a new chat:

What are my testing preferences?

Full walkthrough: docs/GETTING-STARTED.md

Try in browser (no Cursor): npx @modelcontextprotocol/inspector memex serve

Smithery: kioie/memex (local Docker via MCPB — no hosting) · Registry metadata in server.json

How it works

You or the agent          memex (local)              Later sessions
      │                        │                           │
      │  remember("prefers Go")│                           │
      │ ──────────────────────►│  saved to SQLite          │
      │                        │                           │
      │                        │  recall("testing prefs")  │
      │                        │ ◄─────────────────────────│
      │                        │ ─────────────────────────►│ relevant facts

  1. Save — remember stores a short fact (deduplicated per user)

  2. Find — recall or retrieve_context searches when the agent needs context

  3. Update — update_memory revises a fact; old versions stay in the audit trail

Data never leaves your machine unless you copy the database file.

What you get

Feature

What it means for you

Local storage

SQLite file under ~/.memex — you own it

Smart search

Keyword search built in; optional MEMEX_HYBRID=1 for paraphrase-friendly matching

Context limits

retrieve_context returns only what fits your token budget

Safe updates

Revising a fact keeps history; nothing is silently overwritten

Agent + user facts

Track who said what (source: user / agent / system)

Multi-project scoping

Separate by user, agent, session, or metadata tags

Built-in guidance

MCP prompts teach agents when and how to use memory

Health check

memex doctor shows path, counts, and config

Documentation

Doc

For

Getting started

First-time setup in Cursor

For AI agents

When agents should read/write memory

Examples

MCP configs and scoping recipes

All docs

Index

Agents: fetch MCP prompts memory_guide, session_start, and remember_fact from the connected server.

Tools (10)

Everyday use — you usually only need the first three:

Tool

Plain English

remember

Save a fact

retrieve_context

Find relevant facts, sized for the model context window

recall

Search by keywords (query required)

list_memories

Browse stored facts without searching

update_memory

Change an existing fact (keeps history)

get_memory

Look up one fact by ID

forget

Remove one fact (soft delete)

delete_memories

Remove several facts

delete_all_memories

Wipe a user's memories (confirm=true)

memory_history

See how a fact changed over time

Settings

Variable

Purpose

MEMEX_DIR

Where to store data (default ~/.memex)

MEMEX_USER_ID

Your memory namespace (default default)

MEMEX_AGENT_ID

Separate memories per agent

MEMEX_RUN_ID

Tag memories to a session or run

MEMEX_HYBRID=1

Turn on extra local matching for paraphrases

MEMEX_VERBOSE=1

Log database path while debugging

Why memex?

Hosted memory products typically need API keys, cloud embeddings, and network calls on every recall. memex is the opposite: a small MCP server on your machine, writing distilled facts that agents choose to store — no extraction pipeline, no vendor lock-in.

memex

Typical hosted memory

Setup

go install + MCP config

API keys, SDK, often Docker

Data

Your disk

Vendor cloud

Offline

Yes

Usually no

Cost

Free (local compute only)

Usage-based

Development

git clone https://github.com/kioie/memex.git && cd memex
make test              # fast unit tests
make test-integration  # MCP stdio roundtrip
memex doctor

See CONTRIBUTING.md · CHANGELOG.md · SECURITY.md

License

MIT — see LICENSE.

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