mcpField
R
remem

remem

ローカル
majiayu000.github.ioメモリ・ナレッジ342 週間前に更新

remem について

remem は Claude Code と OpenAI Codex CLI 向けのローカル優先のメモリツールです。セッションを自動で取得し、バックグラウンドの LLM で要点を抽出して、SQLite からエンジニアリングの記憶を呼び出します。セッションをまたいでプロジェクトの決定事項を保持したい開発者向けです。

主な機能

  1. 01セッションの自動取得とバックグラウンドでの抽出
  2. 02Claude Code と Codex にまたがるプロジェクトメモリの呼び出し
  3. 03デフォルトで SQLCipher 暗号化された SQLite ストレージ
  4. 04MCP、コマンドライン、認証付きローカル REST の利用
  5. 05出典表示、古さのラベル、注入の監査
  6. 06Homebrew、npm、Cargo によるインストール

活用シーン

  1. 01セッション開始時の過去の根本原因や決定事項の注入
  2. 02過去のバグ修正の経緯や関連コミットの検索
  3. 03Claude Code と Codex で同じプロジェクトのメモリストアを共有

MCP 対応

remem は MCP を通じて Claude Code と Codex にメモリツールを提供します。save_memory や実験的な context_bundle などが含まれます。MCP サーバーとして登録したホストは、同じローカルストアを読み書きします。

設定

ローカルサーバーの設定はどのクライアントでも共通です。コピーしてクライアントの MCP 設定ファイルに貼り付けてください。

mcp.json · 共通設定
{
"mcpServers": {
"majiayu000-remem": {
"command": "npx",
"args": [
"-y",
"@remem-ai/remem"
]
}
}
}
起動コマンドnpx -y @remem-ai/remem

ローカルサーバーにはマシン上の実行環境(Node.js 18 以上など)が必要です。設定ファイルの場所はクライアントごとに異なります。

パッケージ
npm@remem-ai/remem0.6.104

ツール

ツール一覧はまだ取得されていません

ローカルサーバーのツールはマシン上で起動して初めて取得できます。メンテナーはまだツール一覧を提供していません。

README(原文)English

プロジェクトの README より

この README の日本語訳はまだありません。以下は英語の原文です。日本語の紹介はページ上部をご覧ください。

remem: Local-first memory for Claude Code and OpenAI Codex

MCP Toplist

Stop re-explaining your project every new coding-agent session.

Language: English | 简体中文

remem automatically captures, distills, searches, and injects engineering memory across Claude Code and OpenAI Codex CLI sessions. Decisions, bug-fix rationale, project patterns, and preferences stay available through hooks, MCP, CLI, and a localhost REST API.

CI Release crates.io npm License MIT

Remem recall demo showing a new session picking up an earlier bug fix

A new Claude Code session recalls the earlier root cause, commit, and open TODO with memory citations and no re-explaining.

What remem gives you

  • Automatic session capture and background LLM distillation.
  • Project-scoped recall across Claude Code and Codex using one local store.
  • Searchable decisions, bug fixes, architecture notes, preferences, and raw session evidence.
  • Source attribution, staleness labels, suppression, review queues, and injection audits.
  • SQLite with SQLCipher encryption by default for fresh installs.
  • MCP, CLI, and authenticated localhost REST access from one Rust runtime.

remem prioritizes memory quality. Automatic capture is the primary path; manual save_memory calls supplement it when a decision needs to be recorded immediately.

Install in five minutes

Homebrew
brew install majiayu000/tap/remem
"$(brew --prefix remem)/bin/remem" install --target codex

Use --target claude for Claude Code. --target all configures every known host, including Cursor where its v1 renderer is supported.

Standalone installer
curl -fsSL https://raw.githubusercontent.com/majiayu000/remem/main/install.sh | env REMEM_NO_CONFIG=1 sh
~/.local/bin/remem install --target codex
npm or Cargo
npm install -g @remem-ai/remem
# or
cargo install remem-ai --bin remem

remem install --target codex

Codex installation, detection, doctor, uninstall, transcript scanning and default native-memory import all honor CODEX_HOME; the default is ~/.codex. Set it to an absolute directory before running these commands to select another Codex profile. Empty or relative overrides fail visibly before installation writes. Unrelated profile files stay untouched.

GitHub Releases: prebuilt binaries for macOS and Linux on x64/arm64, with published checksums. Use one canonical remem executable on PATH; remem doctor warns when hooks and terminals resolve different copies.

For channel-specific upgrades, platform boundaries, PATH drift, and manual install notes, read the installation and upgrade guide. The broader documentation guide links plugin and operational material.

Verify the installation

Restart the selected coding agent, then run:

remem doctor
remem status
remem search "last decision"

A healthy Claude Code or Codex installation injects relevant project memory at SessionStart and queues durable session distillation at Stop. Codex also uses UserPromptSubmit to capture each prompt and surface compact optional memory candidates. remem doctor checks the schema, encryption key, database, hooks, MCP registration, worker, and common install-path drift. Its diagnostics do not create the data directory or write or rotate log files; findings and stderr warnings remain visible, and existing log health is inspected.

Repository contributors can verify duplicate SessionStart suppression with the isolated executable smoke fixture.

For a focused, read-only view of current-memory truth:

remem doctor truth --cwd .
Why wasn't something remembered?

Use one read-only report to follow capture, extraction, review, current validity, and the latest recorded context run:

remem doctor memory "original phrase" --cwd .
remem doctor memory --host codex-cli --source-root local \
  --project PROJECT_KEY --session-id SESSION_ID --json

Copy the exact selector from remem raw sessions --json. Use --injection-run-id RUN_ID to inspect a specific destination context emission. The source session and destination context run are distinct. Each evidence source is bounded at 20 rows; omitted evidence is marked. Terminal output shows retained source/status counts and three samples per source; --json includes all retained evidence. A missing match or per-item audit is unknown, not proof that capture failed or a guessed drop reason. Query discovery combines raw search with literal stored-text matches; try an original phrase or the exact session when a paraphrase finds no evidence. See the diagnosis contract.

Remem helps an Agent continue work; Refine helps people inspect and reuse knowledge; agent-sessions parses native source formats. Refine consumes Remem's existing session references, content fingerprints and commit/session links instead of collecting another transcript copy.

Host support

CapabilityClaude CodeCodex CLICursor v1
MCP memory toolsYesYesYes on macOS/Linux
SessionStart injectionYesYesNot supported
Automatic session memoryYesYes, Stop-based and low-noiseNot enabled by the v1 installer
Tool-event captureInstalled hooksNo high-frequency Bash hook by defaultRuntime command exists; no installed hook
Compiled command-rule enforcementOptional warn/block on BashNot supportedNot supported
WindowsSupportedSupportedNot supported

Cursor's v1 installer registers MCP only. The verified observe and summarize runtime commands exist, but remem install --target cursor does not install automatic capture hooks or SessionStart injection.

The repository also includes a Codex plugin wrapper. See plugins/remem/README.md for local plugin runtime and explicit hook activation instructions.

Why use remem alongside built-in memory

Built-in MEMORY.md, CLAUDE.md, and agent instruction files are ideal for a small set of stable facts that should always be visible. remem covers the engineering history that is too large, dynamic, or evidence-heavy to maintain by hand.

NeedBuilt-in filesremem
Stable project rulesExcellentSupported
Evolving contextHandwritten instructions; Claude Code auto memory also writes notesHook-driven session capture and background distillation
Search older rationaleLimited by loaded textCurated and raw search
Branch, time, and staleness handlingManualBuilt in
Provenance and injection auditGit historyDatabase-backed audit
Review, suppression, and lifecycle governanceManual editsFirst-class commands

Claude Code auto memory already saves notes automatically. The distinction is the memory surface and its evidence, retrieval, and lifecycle controls, rather than automatic persistence alone.

Use both. Keep concise rules in native files and let remem retain the long tail of decisions, failures, evidence, and changing project state.

The broader ecosystem comparison lives in the dated memory-tool survey.

How it works

Claude Code / Codex hooks
          |
          v
append-only captured_events ledger
          |
          v
coalesced background extraction and session rollup
          |
          v
governed candidates -> curated memories + workstreams + raw archive
          |
          v
FTS, entity, temporal, vector, graph, and optional local rerank retrieval
          |
          v
budgeted, source-attributed SessionStart context

Hooks return quickly after durable capture or queueing. Background workers perform extraction, candidate governance, compression, retrieval enrichment, and lifecycle cleanup. MCP, CLI, REST, and SessionStart share the same local store and governance model, but apply surface-specific eligibility policies. Explicit search is an inspection and recovery surface, so it may return labeled legacy_unverified memories; default SessionStart and CurrentTruth exclude those rows and record the reason.

Malformed generated extraction responses retry with the existing bounded backoff while keeping the same source evidence. Invalid stored evidence still requires repair; exhausted model attempts preserve raw capture and replay ranges for inspection instead of accepting incomplete output.

Observation extraction and session rollup split large backlogs into bounded event chunks. Each model call budgets system instructions, prompt formatting, and evidence together; completion advances only through the processed chunk. Raw evidence remains available when per-event prompt content is clipped. Exact recovery retains the original range and resumes verified successful chunks under the explicitly selected profile and one overall timeout. Already-existing linked successors resume from their own original bounds and checkpoints; a completed primary task does not hide a failed successor. Archived exact recovery claims the existing family atomically, suppresses new follow-up work, and archives unfinished members again if the attempt fails.

Workers persist fair queue and stage/project claim order, so continuing capture in a busy project leaves room for downstream extraction and durable jobs across once-worker restarts. The existing once-worker admission budget still applies.

Generated memory is treated as untrusted until it passes source-support, secret, instruction-pattern, scope, and lifecycle checks. Unsafe content is dropped or routed to review with a diagnosable reason. Complete, user-supported security prohibitions, research activities and explicitly analytical quotations can enter human review in English or Chinese; they never auto-promote. Secret values, harmful instructions and unsupported external text remain excluded.

Automatically promoted summary decisions and discoveries can enter current context at their original summary confidence when captured local evidence, the current summary gate, and the exact activation receipt still validate. External content and missing or changed proof remain review-gated or excluded. New trusted evidence can reconsider identical content that is still pending review: remem preserves the original snapshot and links it to a fresh candidate. Repeated evidence, human review decisions, quarantine, and suppression are preserved. Expired operational state needs fresh evidence before renewal.

For module ownership and current data flow, read docs/ARCHITECTURE.md.

The experimental MCP context_bundle tool exposes the versioned, budgeted compiler to explicit callers. The experimental remem context-plan command prints a request-specific retrieval plan. These opt-in interfaces are tracked by the Context Bundle and retrieval-router contracts.

The default Codex integration stays low-noise: SessionStart provides stable context, UserPromptSubmit provides a compact candidate index, and Stop queues background summarization. Prompt candidates contain IDs, titles, state, retrieval reason, estimated read cost, and a detail lookup hint, but no memory bodies. They are optional leads that Codex may ignore, open, or search beyond. The first prompt may also receive up to two continuity anchors so a prompt such as continue does not depend on lexical overlap. Existing hybrid RRF ranks memory candidates; no final confidence threshold decides relevance for the model. Automatic extraction asks for short, specific candidate titles without a redundant project-name prefix; existing stored titles remain intact.

For your own Codex sidebar, an optional rename convention is MMDD|TYPE|Topic, such as 0903|FIX|FTS5 tokenizer mismatch. If you use a separate host-supported rename workflow, preview its proposed names before applying a batch. This is host-sidebar organization only: Remem does not rename host conversations or import those names as intent overrides. Remem's structured session/workstream fields remain authoritative, and a host title does not change memory types or workstream identity. See the session intent contract and implementation epic #1065.

Session/workstream label corrections use authenticated POST /api/v1/session-intent/preview, then explicit confirmation through POST /api/v1/session-intent/apply. Keep each sensitive option or Bearer prefix and its value on the same logical line in the proposed topic and reason. For example, curl --oauth2-bearer\nexample-value is rejected with HTTP 400 session_intent_cross_line_sensitive_argument; put the option and value on one line before retrying. Rejection creates no preview token or audit entry and changes no labels. Same-line sensitive values are redacted before preview.

Everyday workflows

Recall and inspect
remem search "database encryption"
remem search "deployment decision" --branch main --explain
remem show <memory-id>
remem why <memory-id>
remem current <state-key>

remem search keeps the terminal clean: per-query [INFO] [search-perf] diagnostics are written to the log file, not stderr, in normal use. Set REMEM_DEBUG=1 to mirror them to stderr while debugging.

Project aliases for Git worktrees

When a worktree has its own project key, preview an alias to the main checkout, then apply it after checking the paths and Git proof:

remem project alias add /path/to/worktree --canonical /path/to/main \
  --actor you --reason "same project"
remem project alias add /path/to/worktree --canonical /path/to/main \
  --actor you --reason "same project" --apply
remem project alias list
remem search "decision" --project /path/to/main
remem project alias revoke /path/to/worktree \
  --actor you --reason "worktree retired" --apply

The main checkout must already have a project row from normal remem capture. The alias keeps historical rows at their recorded paths while CLI and MCP project searches include the worktree's memories. add and revoke preview without database writes unless --apply is present. Revocation removes the worktree from the main project's search scope; list reports active aliases with the actor and reason from their latest activation.

Agents can use MCP search for compact results, then get_observations for selected details. Use raw recall only when curated memory misses exact transcript evidence:

remem raw search "exact phrase" --since 2026-06-01 --json

List complete host-bound sessions before reading an exact transcript:

remem raw sessions --latest 20 --json
remem raw messages --host codex-cli --source-root local \
  --project "/path/to/project" --session-id SESSION_ID --json
remem ingest-sessions --root codex-cli:archive=/path/to/sessions --json

Default transcript scans use $CLAUDE_CONFIG_DIR/projects and $CODEX_HOME/sessions, falling back to ~/.claude and ~/.codex. An explicitly empty override is an error. Explicit override directories must exist and be readable; only absent inferred defaults are skipped. Explicit --root directories remain supported; descendant subagents directories are excluded from batch scans. Codex session modes use native source evidence: IDE is interactive, explicit exec is unattended even with a Desktop originator, and subagent evidence takes precedence. These are source labels, not proof of who initiated a run. Existing saved modes upgrade once after checking the original classification evidence; genuine provenance conflicts still fail the batch. This adds schema v093: retain a database backup before upgrading; older binaries cannot open the upgraded schema. Raw message identities and cursors are preserved.

Copy host, source_root, project, and session_id unchanged from one raw sessions summary into raw messages. Existing scripts must add the required --host selector and replace --root LABEL=PATH with --root HOST:LABEL=PATH; the same root format applies to raw reconcile. The JSON envelope reports excluded_legacy_rows, excluded_legacy_sessions, and excluded_legacy_identities when some archive rows cannot enter the host-bound session contract. Each listed session also carries additive nullable mmdd, session_intent, session_topic, display_label, and session_intent_source fields. mmdd is derived from the session created epoch in Asia/Shanghai; the full {MMDD}|{INTENT}|{topic} label is present only when both intent and topic are known. Stop summaries may fill those fields with source summary; unknown, empty, too-long, or redacted values abstain instead of blocking the rest of the summary. Automatic Stop rollups preserve manual label overrides, including explicit clears, across later turns. Listing still returns healthy sessions; --latest N fills that bound from healthy sessions only and does not let unresolved rows occupy those slots. Use the skipped identities (source_root, project, session_id, and host when known) to inspect or repair those rows. Exact raw messages for a skipped selector stays fail-closed. Do not re-ingest a skipped row unless ingest can actually claim it — many legacy rows have no trusted host provenance. HOST is claude-code or codex-cli, and LABEL becomes the persisted source_root. Cursor snapshot evidence requires a manually configured and verified remem summarize --host cursor Stop integration; filesystem --root ingestion and reconciliation reject cursor explicitly.

Review and govern
remem review list
remem review approve <candidate-id>
remem memory suppress memory:<id> --reason "no longer relevant"
remem govern --action stale --dry-run --json <id>

Mutating governance commands expose previews, explicit confirmations, or review boundaries according to their risk. Run remem <command> --help for the current contract instead of relying on a copied command inventory.

MCP tools share that store with stricter wire contracts. The canonical MCP contract is GH981, including the #1061 mutation and scope boundary:

  • save_memory: pass host when the calling host is known. An omitted host is recorded as unknown, never inferred as codex-cli.
  • govern_memory: dry-run first to preview IDs and current versions from that governance transaction. Non-dry-run mutations require expected_versions for every ID, confirm_destructive=true, and an explicit reason.
  • recall_user_context: supply project or cwd. The server does not infer this scope from its own process working directory.

The local Remem app shows session/workstream labels or explicit abstention. Sessions can be filtered by intent and created date in Asia/Shanghai. Operators can correct labels in batches with a Before/After preview, explicit confirmation, and an audit; workstream identity and host conversation titles stay stable.

Configure memory AI and retrieval
remem config show
remem model current
remem model use balanced --dry-run
remem embedding status
remem embedding download --model multilingual-e5-small
remem embedding backfill --limit 1000

auto embedding mode stays local unless a remem-specific API key is selected. The verified local model is optional; the labeled feature-hash fallback remains available. The second-stage local reranker is also optional and disabled until configured.

Vector indexes keep each model and artifact revision in its own vector space. Project, branch, type, and lifecycle filters apply before nearest-neighbor selection. Automatic context uses the same vector executor as search, so old memories remain eligible by similarity as a project grows. While a derived index is rebuilding, an exact local scan preserves recall; large stores may take longer until that profile's index is ready.

Use the current configuration routes, the local embedding contract, and remem config, remem embedding, or remem reranker help for details.

remem usage reports every dispatched memory-AI attempt, including failures. Observed zero, partial, missing, invalid, and text-estimated token counts remain distinct. Reported USD is the known priced portion; coverage counts show when unknown rates or missing counter details make it incomplete. Failed attempts without provider counters do not receive guessed token estimates. Historical usage remains labeled as unverified rather than being silently reclassified.

Share or edit memory outside the database
remem sync-memory --cwd .
remem export --markdown --output ./remem-memory
remem export --pack .remem-pack

Markdown mirrors are human-editable. Project memory packs are deterministic, git-committable exports with provenance-aware import and quarantine behavior. See the memory usage guide and project memory pack contract.

Evidence and benchmarks

The checked-in public suite separates memory-system capability evidence from coding-agent outcome evidence. Verify it locally with:

cargo run -- bench verify --root eval/public --json-out /tmp/remem-bench-verify.json

Verification resolves claims/registry.json beside the parent of --root, so an external bundle keeps public/ and claims/ as siblings and is independent of the caller's working directory.

Public adversarial SQLite snapshots are capped at 64 MiB and must be canonical VACUUM images; verifier-consumed artifact targets must also resolve inside the declared public root.

The current public report does not support public benchmark claims and is deliberately labeled directional_only_no_public_claim. The historical isolated coding baseline is useful engineering evidence, but its preloaded-memory condition is not comparable with the current SessionStart retrieval path.

Reproduction commands, artifact schemas, claim boundaries, and current gates live in:

README claims intentionally exclude unsealed local metrics that have no checked-in report.

Security and privacy

  • Fresh installs create a SQLCipher-encrypted database and private key file.
  • The data directory and key use restrictive per-user permissions.
  • The REST API binds to 127.0.0.1 and requires a bearer token.
  • Hook-captured event previews are redacted before durable storage.
  • MCP and CLI workstream listings project redacted text: credential-like assignments, short inline secrets, and sensitive command options are replaced with [REDACTED] in returned fields (and CLI --json envelope project), while ordinary filesystem project paths stay readable. Stored workstream rows keep their canonical values for matching and scope checks, so queried output can differ from the database when secrets were present.
  • Memory candidates and injected content pass secret and poisoning defenses.
  • remem doctor reports encryption, plaintext residue, schema, and audit failures without printing memory payloads.

Read SECURITY.md for reporting and security policy. Operational contracts for SQLite tuning and memory-poisoning defense are kept outside the landing page.

REST API

remem api --port 5567
TOKEN=$(cat ~/.remem/.api-token)
curl -H "Authorization: Bearer $TOKEN" http://127.0.0.1:5567/api/v1/health
curl -H "Authorization: Bearer $TOKEN" http://127.0.0.1:5567/api/v1/capabilities

Clients should feature-detect through /api/v1/capabilities. The current endpoint and compatibility contract is maintained in docs/specs/SPEC-web-api.md.

Documentation

Use docs/README.md as the jump page for installation, configuration, memory lifecycle, retrieval, governance, API, plugin, operations, architecture, and benchmark material.

The most common destinations are:

Uninstall

Preview and remove host hooks and MCP registration without deleting memory:

remem uninstall --dry-run
remem uninstall

The encrypted database remains in the configured REMEM_DATA_DIR. Back it up before manually deleting that directory if data removal is intended. Ordinary file deletion removes remem's local data but does not guarantee secure erasure from filesystem snapshots, backups, or the underlying storage media.

License

MIT

コメント

MCP は初めてですか?

プロトコルの概要から最初のサーバーの導入まで、よくある疑問にまとめて答えます。

AI アプリケーションが外部のツールやデータソースに統一的な方法で接続するためのオープンなプロトコルです。クライアントはモデルとの対話を担い、MCP サーバーはツール・リソース・プロンプトテンプレートを提供します。標準メッセージでやり取りするため、1 つのサーバーを複数のクライアントで再利用できます。