Leteo
Exports memories from Leteo into an Obsidian vault as Markdown, allowing users to browse and manage their memories in Obsidian.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Leteowhat do we have on the auth implementation?"
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.
Leteo — persistent memory for AI coding agents
Your coding agent forgets everything when the session ends, and most of it when the context is compacted. Leteo is the memory it keeps: decisions, bug fixes, conventions and the discoveries that were expensive to make, stored in a local SQLite database and handed back when they are relevant.
One binary, no server, no API key. Nothing leaves your machine unless you turn on cloud replication for a project you name.
Works with: Claude Code · Codex · Cursor · Gemini CLI · OpenCode · Windsurf · VS Code Copilot · Kilo Code · Qwen · Kiro · Antigravity · Pi
What it feels like
You never prompt it to remember. That is the whole idea. Your agent opens each session already holding what the project knows, and saves as it goes while you work — a bug fixed, a convention agreed, something non-obvious learned. Those notes are written for its future self rather than for you, so they stay out of the conversation.
The rest is a SQLite file you own. leteo tui opens it, leteo export takes it
with you, and leteo delete means it.

Related MCP server: basic-memory
Install
# Linux and macOS
curl -fsSL https://raw.githubusercontent.com/asanabrial/leteo/main/install.sh | sh# Windows
irm https://raw.githubusercontent.com/asanabrial/leteo/main/install.ps1 | iexThen open Leteo and set your agent up from the Setup screen:
leteo tuiThat is all of it. Nothing else to install first — not Rust, not SQLite, not a
runtime: the archives are prebuilt binaries with SQLite compiled in, and each
script checks its download against the published SHA256SUMS before installing
anything. The binary lands in ~/.local/bin, or %LOCALAPPDATA%\leteo\bin on
Windows; LETEO_INSTALL_DIR moves that, LETEO_VERSION takes a tag other than
the latest release, and LETEO_BASE_URL downloads from somewhere other than
GitHub releases. Those three belong to the scripts rather than to the binary,
which is why they are not in the Environment table.
Releases carry five builds — x86-64 Linux, Windows and macOS, and arm64 Linux and macOS. On anything else, build from source, which is the one route that needs Rust:
cargo install --git https://github.com/asanabrial/leteoUninstall
leteo uninstall
leteo uninstall --yesThe first reports what would go and changes nothing. The second carries it out: Leteo leaves every agent it configured, and then the machine. On Windows it also registers itself in Installed apps, so it can be removed from there instead.
To leave one agent and stay in the rest:
leteo setup claude-code --uninstallThat takes out the MCP entry, the lifecycle hooks and the protocol block, and nothing else — other servers, other tools' hooks and your own notes stay where they are.
MCP
A 22-tool MCP server over standard input/output, run directly or written into a
client by leteo setup:
leteo mcpNineteen of the tools are the everyday ones an agent reaches for while it works;
three change or count the whole store and sit behind a profile. --tools picks
a profile or a single tool, and --project fixes the project for the process.
Alongside it there is a JSON command line, an interactive terminal UI, and setup support for twelve MCP clients — the list at the top of this page.
Its name in the MCP Registry is
mcp-name: io.github.asanabrial/leteo, which is what server.json
publishes. The line is written out rather than hidden in a comment because that
is what the registry reads to believe this repository owns the crate, and
crates.io strips HTML comments when it renders this file.
What you type
Rarely anything: the saving and the recalling happen without you. This is the
store from the outside, for the times you want to look yourself. Every command
prints JSON, and the default database is ~/.leteo/leteo.db.
Reading it. search is the one you will actually use, and --all-projects
widens it past the project you are standing in. recent is the last few in time
order; context is the block an agent is handed when a session opens, so it
shows what yours are starting with; timeline reads what was saved either side
of one memory; stats counts what is there. tui is all of it on one screen.
leteo search "connection pool" --project leteo
leteo search "connection pool" --all-projects
leteo recent --project leteo --limit 20
leteo context leteo --scope project
leteo timeline 42 --before 5 --after 5
leteo stats
leteo tuiWriting by hand. Seldom needed, since the agent saves as it works — but a memory you want in your own words, and the session boundaries an agent would otherwise draw for you:
leteo save "SQLite architecture" "One writer, many readers" --project leteo --type architecture
leteo session-start session-1 --project leteo
leteo session-end session-1Setting an agent up. On its own it walks through it; naming an agent does
that one. --hooks adds the lifecycle hooks that make memory automatic, and
--dry-run reports every file it would touch without writing one:
leteo setup
leteo setup claude-code --hooks
leteo setup opencode --dry-runKeeping it well. doctor runs every check and says which one failed and
why; --repair carries out the two repairs that are safe to make on their own.
export and import move a store between machines, and obsidian-export
writes it into a vault as Markdown:
leteo doctor
leteo doctor --repair
leteo export --project leteo --output leteo-export.json
leteo import leteo-export.json
leteo obsidian-export --vault C:\Vaults\Notes --project leteoProjects. A project is worked out from the directory, so the same work can
end up filed under two names. consolidate folds a group of them into one name,
prune drops the ones holding no memories at all:
leteo projects list
leteo projects consolidate --project leteo --apply
leteo projects prune --applyConflicts. When a new memory looks like it contradicts an older one the two
are paired and the agent settles the pair. These read the same pairs from
outside: list and show for what is there, scan to look for pairs nobody
has recorded yet, stats to count them by verdict:
leteo conflicts list --project leteo --status pending
leteo conflicts show 7
leteo conflicts scan --project leteo --apply
leteo conflicts stats --project leteoDeleting. Without --hard a memory is marked deleted and stops coming back
in answers; with it, the row is gone and its relations are cut. A project takes
the same flag. A session takes none, and while it still holds memories deleting
it is refused outright and says how many — a session goes when it is empty, not
by taking its memories with it:
leteo delete observation 42 --hard
leteo delete session session-1
leteo delete project leteo --hardprojects consolidate, projects prune and conflicts scan change nothing
until --apply: without it each one reports exactly what it would do.
Languages
Three settings, because they answer three different questions.
interface is Leteo's own screens: the panels, the menus, the help. Twelve
languages — English, español, português, français, Deutsch, italiano, català,
galego, euskara, Nederlands, polski, svenska — deliberately the same twelve
offered for memories, from the same table. Left unset it follows the machine's
locale, so a Spanish computer gets a Spanish dashboard without being asked.
voice_language is what Sardi speaks, and it is separate because those
lines are written into your agent's conversation rather than onto Leteo's
screens. Working in English on a Spanish machine is an ordinary thing to do.
Left unset it follows interface. It is the same twelve languages.
language is what memories are written in. It is handed to a model rather
than parsed, so it is free text and not limited to the twelve above: español,
Spanish, português do Brasil and 日本語 all work. Left unset, each memory
is written in the language of the conversation that produced it.
Settings
Those three and two more are kept in settings.json, in the data directory —
~/.leteo/settings.json unless you moved it. The Setup screen writes the file,
and it is also meant to be opened by hand: a value it cannot read costs that one
setting rather than the whole file. Nothing says so at the time, though, because
a hook must not fail while you are mid-edit — leteo doctor is what names a
setting being read past.
Key | Values | Unset means |
| one of the twelve above | follow the machine's locale |
| one of the twelve above | follow |
| free text | the language of each conversation |
|
|
|
|
|
|
The two languages are written as the language's own name — español, not es —
and read back forgivingly, because this is a file people type into: the English
name, the ISO code and the spelling without the accent all work.
voice is how much of its own work Sardi says out loud — everything, the save
reminder alone, or nothing. context_size is how many memories a session opens
with: twenty, fifty or eighty, for a small context window or for a store that
matters more than the budget.
Two of the five are flags as well, because changing them should not mean reconfiguring an agent. Either one on its own is a whole command:
leteo setup --language "español"
leteo setup --context slimCloud
Optional, off by default, and per project. Your machine is the client; the cloud never connects back.
Turning it on takes two answers: where the server is, and which projects go
to it. config set writes the first into the data directory — into a file with
restricted permissions, because it holds a token — and enroll names a project.
Nothing replicates until both are done, and the commands below say so rather
than starting quietly:
leteo cloud config set --server https://memory.example.com --token YOUR-TOKEN
leteo cloud enroll --project leteo
leteo cloud config showconfig show reads the configuration back with the token replaced by a presence
flag, so it is safe to paste.
Once it is on, health asks the server whether it is there and answering.
status contacts nothing at all: it reports this machine's own view — what is
enrolled, how many changes are waiting and since when, and whether the last
attempt failed and with what. sync runs one cycle now, and leteo serve keeps
running them in the background until interrupted:
leteo cloud health
leteo cloud status
leteo cloud sync
leteo serveNot to be confused with leteo cloud serve, which is the other end — the server
itself, which you only run if you are hosting one. That side, with its Compose
stack, managed tokens and project grants, is in
openspec/specs/replication.md.
Coming From Engram
Leteo is an independent Rust product derived from the workflow and MIT-licensed implementation of Gentleman Programming's Engram. It is not affiliated with or endorsed by that project, and promises no drop-in CLI compatibility.
It reads an Engram database directly, so moving across is a copy. The first reports what it would adopt and writes nothing; the second carries it out, and refuses a second time rather than importing everything twice:
leteo import --from-engram --dry-run
leteo import --from-engramIt defaults to ~/.engram/engram.db; pass --source for another path. The copy
folds in the write-ahead log, so a running Engram's most recent memories come
across and its own file is never written to.
Build
Leteo requires Rust 1.97 or newer.
cargo fmt --all
cargo test
cargo clippy --all-targets -- -D warnings
cargo build --releaseCI runs the tests. The formatting and the lints are on you before you commit,
which is why they are listed here and in AGENTS.md rather than
only in a workflow.
The cloud tests need a real PostgreSQL and are skipped without one. Point
TEST_DATABASE_URL at a throwaway database and run cargo test -- --ignored;
they create and drop their own schema, and are not written to share one.
Contributors — human or agent — should read AGENTS.md first.
Documentation
This file is the user-facing guide. What the system guarantees, and why, is in
openspec/ — one document per capability, cross-linked:
Document | Covers |
what Leteo is, the crate layout, the system-wide invariants | |
what a memory is, its types, review windows, normalisation | |
matching, ranking, the three stages, the narrowings | |
the database, migrations, | |
the MCP surface and the shape of its replies | |
the five lifecycle events and their time budgets | |
the command line and what its answers explain | |
the optional PostgreSQL peer |
Longer write-ups of individual measurements live in docs/. The first
is there was nothing worth tuning: the third
search stage answers questions belonging to another project 90.2% of the time,
which is more often than it answers its own, and four rules swept across their
whole range say that is not a threshold anybody can fix.
Environment
None of these has to be set. This is an inventory of every variable the
binary reads — a test fails the build when the binary honours one this table
leaves out — and not a list of things to configure. leteo setup writes what an
installation needs into each agent's own configuration file, and the choices you
make in the interface are kept in settings.json. Neither of them
sets a variable in your environment.
All but the last are a command-line flag as well, and the flag wins: the variable is read only when the command line does not answer the same question.
Variable | Flag | Purpose |
|
| Local data directory; defaults to |
|
| Explicit local SQLite path |
|
|
|
|
| Project the MCP server trusts for the whole process; without it, the working directory decides |
|
| Agent CLI that judges conflict candidates: |
| — | Language this machine works in, when |
Two are worth a sentence more, because they are where the flag winning bites:
LETEO_TOOLSis already answered for every agent Leteo sets up: the MCP entry it writes runsleteo mcp --tools=agent. Exporting the variable afterwards changes nothing for that agent — edit the profile in its configuration file, or run the setup again.LETEO_DATA_DIRis the one with a real reason to be exported. The MCP server is started by the agent rather than by you, so a database somewhere other than~/.leteohas to reach it either through that agent's environment or as a--data-dirin the command its configuration runs.
Cloud, on your machine
leteo cloud config set persists the server and the token in the data directory
and is how this is configured. These two are read only where that file leaves
the field empty, so a setup that predates it keeps working unchanged.
Variable | Purpose |
| Cloud base URL for |
| Sync bearer token, at least 32 bytes |
leteo cloud serve reads LETEO_CLOUD_TOKEN too, as its own legacy static
token — on a machine that is both client and server, one name means two things.
Cloud, on the server
These belong to whoever runs leteo cloud serve, and they are set where that
service is defined — see docker-compose.yml. There is no
wizard for them on purpose: they are deployment secrets rather than preferences,
and none of this applies to a normal installation.
Variable | Purpose |
| PostgreSQL URL for cloud serve |
| Dashboard signing secret, at least 32 bytes |
| Managed-token HMAC pepper, at least 32 bytes |
| Optional legacy admin bearer token, at least 32 bytes |
| Required allowlist for legacy cloud tokens |
| Cloud bind host; defaults to |
| Cloud port; defaults to |
| PostgreSQL connection-pool limit |
| Maximum cloud push body size |
License And Attribution
Leteo is distributed under the MIT License. See LICENSE and
NOTICE for upstream attribution and the exact reference revision.
Tagged binary archives also include a generated THIRD_PARTY_LICENSES.html
covering their Rust dependencies.
Maintenance
Related MCP Servers
- AlicenseCqualityFmaintenanceThis project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.44350MIT
- AlicenseBqualityAmaintenanceBasic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md173,633AGPL 3.0
- Flicense-qualityAmaintenanceLocal-first cross-agent memory for AI coding agents. Persistent, shared memory over MCP — what you tell one agent can be recalled by another — with all data stored in a single local SQLite file, no cloud and no API keys.
- Alicense-qualityBmaintenancePersistent memory for AI coding agents that stores and recalls preferences, decisions, and conventions via semantic similarity, with zero cloud dependencies and plug-and-play MCP integration for Claude Code.Apache 2.0
Related MCP Connectors
User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.
Persistent memory for AI agents. Search, store, and recall across sessions.
Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).
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