mcp-memory-rs

io.github.DioNanosPublished by GitHub account DioNanosv0.2.1Updated Oct 25, 2026

Local-first agent memory: versioned JSON categories, BM25 search, per-device ACL, fleet sync.

The publisher's own server: Memory.fit

VerifiedSTDIODesktop onlyFiles & StorageKnowledge & Memory

Overview

AI-generated overview

Local-first MCP memory server that gives an assistant persistent, versioned JSON memory categories with full-text search and optional device sync.

What you can do
Read, write, merge-patch and delete memory categories, with version history and automatic backups before changes; append timestamped entries to bounded log categories for event streams and session journals; list categories and search them with BM25 full-text or hybrid TF-IDF ranking, filtered by category, date or actor; fetch multi-category context within a token budget and poll changes since a known hash; inspect status and run diagnostics on paths, database and sync configuration; build merkle manifests, diff them and push or pull sync envelopes against a configured remote.
When to use it
Useful when an assistant should keep long-lived state such as identity, project notes or per-device workflows across sessions and across different MCP clients, stored in files the user owns. It suits users who want offline, vendor-independent agent memory without a cloud account or embedding service, and who may later sync several devices.
Requirements
Runs as a local stdio process; a prebuilt binary is offered for Linux and Android targets, while macOS requires building from source with cargo. Configuration is a TOML file, auto-discovered or set via MCP_MEMORY_CONFIG, with environment overrides such as MCP_DEVICE and MCP_MEMORY_MODE; managed setups can set MCP_MEMORY_REQUIRE_CONFIG=1. The optional HTTP sync mode requires MCP_MEMORY_TOKEN. Default mode needs no network.
Before you install
Writes, merges and deletes change stored memory, though deletes back up first and expected_hash guards against clobbering. The optional HTTP sync plane grants full access to every category with a single bearer token, bypasses per-device ACL, and must not be exposed to the public internet; bind it to loopback and tunnel between nodes. Restore requires every process on the store to be stopped first, and the database file alone is not a backup.

Installation

In SourceWeft

  1. Open mcp-memory-rs in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

mcp-memory-rs

[CI] [Tests] [License: Apache-2.0] [Rust] [Local First]

Local-first MCP memory server in pure Rust. Persistent, versioned, queryable memory for AI agents — owned by the user, not by a platform.

State lives on your disk as plain JSON categories backed by SQLite (FTS5). Every write is versioned and backed up. A fleet of devices syncs through an optional HTTP endpoint with merkle manifests and optimistic concurrency. No cloud account, no embedding service, no network dependency in the default mode.

Why

Agent memory tied to a vendor dies with the vendor session. This server keeps the agent's long-lived state — identity, projects, infrastructure notes, per-device workflows — in files you can read, grep, diff, and back up yourself. Any MCP client (Claude Code, Codex, or anything speaking MCP stdio) gets the same memory; swapping the model does not lose the state.

Design choices that follow from that:

  • Local-first: the stdio server works fully offline against local storage. Sync is a separate, explicit step — never a hidden dependency.
  • Plain storage: one JSON file per category plus a SQLite index. The database can be rebuilt from the files; the files are the truth.
  • Versioning by default: every write keeps history; deletes create a backup first. memory_history and memory_compact manage the tail.
  • Concurrency-safe writes: expected_hash turns clobbering races between concurrent agents into explicit conflicts.
  • Zero ML in the core: full-text search is SQLite FTS5 with BM25; memory_search_semantic adds an optional TF-IDF hybrid. No model downloads.

The pair: for corpus recall (chunked documents, BM25 retrieval, original-text injection) see the companion server mcp-vl-msa-rs. This server holds the curated agent state; that one holds the queryable corpus.

mermaid
flowchart LR    A["AI agent<br/>(any MCP client)"]    A -->|"curated state<br/>read / write / sync"| M["mcp-memory-rs<br/><i>the notebook</i>"]    A -->|"corpus recall<br/>index / search / fetch"| V["mcp-vl-msa-rs<br/><i>the library</i>"]    M --- D1[("JSON categories<br/>SQLite FTS5")]    V --- D2[("tantivy BM25<br/>collections")]

Install

Prebuilt binary (recommended) — download the archive for your platform from the latest release, extract, and point your MCP client at the binary:

bash
tar xzf mcp-memory-rs-x86_64-unknown-linux-gnu.tar.gzinstall -m755 mcp-memory-rs-*/mcp-memory-rs ~/.local/bin/

Prebuilt targets (Linux + Android): x86_64-unknown-linux-gnu, x86_64-unknown-linux-musl, aarch64-unknown-linux-gnu, aarch64-unknown-linux-musl (edge / ARM / Termux), aarch64-linux-android.

macOS: no prebuilt binary is shipped (it would need Apple code-signing). Install from source instead — cargo install compiles it on your Mac in one command, no signing needed:

bash
cargo install --git https://github.com/DioNanos/mcp-memory-rs --locked

--locked uses the committed Cargo.lock (reproducible build).

Quick start

bash
cargo build --release
# stdio MCP server, offline mode (default)./target/release/mcp-memory-rs

Claude Code (~/.claude.json) or any MCP client:

json
{  "mcpServers": {    "memory": {      "command": "/path/to/mcp-memory-rs",      "env": {        "MCP_MEMORY_CONFIG": "/home/me/.config/mcp-memory-rs/config.toml",        "MCP_MEMORY_REQUIRE_CONFIG": "1",        "MCP_MEMORY_MODE": "offline",        "MCP_DEVICE": "my-laptop"      }    }  }}

Codex (~/.codex/config.toml):

toml
[mcp_servers.memory]command = "/path/to/mcp-memory-rs"env = { MCP_MEMORY_CONFIG = "/home/me/.config/mcp-memory-rs/config.toml", MCP_MEMORY_REQUIRE_CONFIG = "1", MCP_MEMORY_MODE = "offline", MCP_DEVICE = "my-laptop" }# auto-approve read-only tools (memory_read/list/search/…); writes still gateddefault_tools_approval_mode = "approve"

Configuration is TOML — copy config/example.toml to ~/.config/mcp-memory-rs/config.toml and adjust it. The server auto-discovers that XDG-style path. Environment variables override file values (MCP_DEVICE, MCP_MEMORY_MODE, MCP_MEMORY_DIR, …); managed deployments should set MCP_MEMORY_REQUIRE_CONFIG=1 so a missing config fails closed.

Memory model

Memory is organized in categories: named JSON documents (base, projects, my-laptop, workflow_my-laptop, …). Reads return the document plus metadata (content hash, size, last writer, timestamp). Writes replace the category or, with merge=true, patch it per top-level key.

Access control

Multi-device fleets get a small, explicit ACL ([acl] in the config):

RuleEffect
admin_devicesListed devices write everything.
device_categoriesDevice name writes category name and workflow_name — its own namespace only.
agent scopeDevice foo-agent writes foo_* categories.
everyoneAll devices read everything.

Unknown categories are denied for non-admin writers — fail closed.

Fleet sync

Each node runs local-first; one node (or any number) exposes the HTTP API as a sync remote. sync_manifest builds a merkle-rooted fingerprint of all categories; sync_diff compares manifests; memory_sync pushes dirty categories or pulls remote changes. Conflicts between nodes are resolved by the configured conflict_strategy (last-write-wins by default); expected_hash preconditions protect direct writes (MCP and HTTP), not the sync envelope.

The HTTP API is an admin/sync plane: the bearer token grants full access to every category. Per-category ACL applies on the MCP stdio surface, where the device identity is known locally; HTTP callers are identified only by the shared token, so no per-device ACL is enforced there.

The HTTP server requires MCP_MEMORY_TOKEN and refuses to start without it. Bind it to loopback (the default) and tunnel between nodes; do not expose it to the public internet.

bash
MCP_MEMORY_TOKEN=<secret> ./target/release/mcp-memory-rs --http

Tool surface

ToolDescription
memory_readRead a category (optional field filtering).
memory_writeReplace or merge-patch a category; versioned; expected_hash precondition.
memory_appendAppend a timestamped entry to a bounded append-only log category; auto-prunes by max_entries/max_age_days. For event streams / session journals, so they don't bloat memory categories.
memory_deleteDelete a category (backup created first).
memory_listAll categories with hash/size/last-update metadata.
memory_searchFTS5 full-text search, BM25 ranking, category/date/actor filters, snippets.
memory_search_semanticHybrid TF-IDF + FTS5 search.
memory_historyVersion history of a category.
memory_deltaChanges since a known hash (cheap polling).
memory_contextMulti-category warmup read, token-budget oriented.
memory_compactPrune old versions and backups.
memory_statusLocal-first status: dirty queue, manifest hash, last sync.
memory_doctorDiagnostics: paths, database, categories, sync config.
sync_manifestMerkle-rooted manifest of all categories.
sync_diffCompare local vs remote manifest: push/pull/conflict sets.
sync_push / sync_pullExport/import sync envelopes.
memory_syncOne sync step against the configured remote (push_dirty / pull_remote).

The same surface is available over HTTP (/api/v1/*) for non-MCP consumers; /health is unauthenticated, everything else requires the bearer token.

AI client compatibility

The server is built to be self-explanatory to a weak client model:

  • At initialize it returns an instructions string describing the memory model and the entry-point tools. Some lightweight clients ignore this field; if your client never surfaces it, read the tool descriptions instead — they carry the same guidance (e.g. memory_read takes category, not key).
  • Read-only tools are annotated readOnlyHint, so a client such as Codex can auto-approve them. On Codex, an unsupported call / user cancelled result usually means the tool-approval gate fired, not a server fault — set default_tools_approval_mode = "approve" (see the Codex snippet above).
  • The server speaks the standard MCP handshake. A client must complete initialize and send notifications/initialized like any MCP client.

Storage layout

With no config and strict mode disabled, standalone base_dir remains ~/.memory for compatibility. The auto-discovered example config uses ~/.local/state/mcp-memory-rs (XDG-style). Config resolution is: explicit MCP_MEMORY_CONFIG, $XDG_CONFIG_HOME, $HOME/.config, legacy cwd-local memory-config.toml, then standalone defaults. Either way the layout is:

<base_dir>/├── categories/   # one .json file per category — the source of truth├── backups/      # automatic pre-delete/pre-overwrite backups├── memory.db     # SQLite: FTS5 index, versions, sync state (rebuildable)└── memory.db-wal # write-ahead log (WAL mode; do not copy or delete by hand)

Concurrency (many processes, one store)

Every writer — one stdio server per client plus the optional --http instance — opens its own SQLite connection on the same file. Since 0.3.2 each mutation runs inside a BEGIN IMMEDIATE transaction: SQLite is the mutex that serializes writers across processes, so an append (read → modify → write) can never lose another process's entry. Lock acquisition is retried with jittered backoff inside one total budget; when it expires the call fails with a clear Store busy … retry later error instead of hanging or corrupting anything.

toml
[storage]journal_mode = "wal"           # "wal" (default) or "delete"synchronous = "full"           # "full" (default, durable) or "normal"sqlite_busy_timeout_ms = 200   # per-statement SQLite busy handlerlock_deadline_ms = 10000       # total wait for the write lock per mutation

Category JSON files are written crash-safely: the new content is staged next to the file (a name unique to the transaction), the SQLite rows are committed, then the staged file is renamed into place. A process that dies in between leaves a staged file whose fate is decided by its hash under the next write lock (matching the committed hash → promoted; otherwise → discarded). Readers never rename or delete anything: they serve whichever file carries the committed hash. memory_write merge=true, the log/memory kind check and the optional expected_hash compare-and-swap all run inside the same lock.

Snapshot and restore

memory.db alone is not a backup (WAL, JSON files). Use the CLI:

bash
mcp-memory-rs --snapshot /path/to/snap-2026-09-15 --with-backups  # db + json + backups + manifestmcp-memory-rs --restore  /path/to/snap-2026-09-15 --stoppedmcp-memory-rs --verify-store                                      # read-only: db vs json, pending files

--verify-store never opens a Store (no PRAGMA, schema or reconcile): it is safe on a store another binary still owns. A store written by a version older than 0.3.2 can hold categories whose file is newer than the database row (a write whose SQL failed): --adopt-json --plan out.json describes them read-only and --adopt-json --apply out.json adopts the files, with preconditions, under the lock. Restore's final swap is a few renames — copy-safe, not atomic as a group: a RESTORE_IN_PROGRESS marker keeps the store closed until an interrupted swap is recovered by hand.

A snapshot blocks writers for its duration (readers continue), runs VACUUM INTO and copies the category files, so both halves describe the same instant; it is verified before it is reported. Coverage is explicit in manifest.json: without --with-backups only the current content and the version metadata are covered — memory_history payloads (read_version) live in backups/ and need --with-backups. Restore verifies the snapshot (integrity, one file per category with the recorded hash) before touching anything, then replaces the live store and parks the previous one under <base_dir>/restore-parked-<timestamp>/; it requires every mcp-memory-rs process on that store to be stopped first — the --stopped flag is your word for it.

Building and testing

bash
cargo build --release   # single static-friendly binarycargo test              # unit + integration testscargo clippy --all-targets -- -D warnings

No build-time network access, no C dependencies beyond bundled SQLite.

License

Apache-2.0. See LICENSE.

Source: README.md at commit 02a0755

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.2.1LatestSep 16, 2026

Score

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