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.

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

Save — remember stores a short fact (deduplicated per user)
Find — recall or retrieve_context searches when the agent needs context
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.

memex