https://github.com/majiayu000/remem
Persistent memory for Claude Code — single Rust binary, zero config
https://github.com/majiayu000/remem
ai-tools claude-code cli developer-tools knowledge-management mcp memory persistent-storage rust sqlite
Last synced: 16 days ago
JSON representation
Persistent memory for Claude Code — single Rust binary, zero config
- Host: GitHub
- URL: https://github.com/majiayu000/remem
- Owner: majiayu000
- License: mit
- Created: 2026-02-20T17:35:19.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-05-13T13:40:23.000Z (19 days ago)
- Last Synced: 2026-05-13T15:35:52.356Z (18 days ago)
- Topics: ai-tools, claude-code, cli, developer-tools, knowledge-management, mcp, memory, persistent-storage, rust, sqlite
- Language: Rust
- Size: 2.1 MB
- Stars: 4
- Watchers: 0
- Forks: 1
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Agents: AGENTS.md
Awesome Lists containing this project
README
# Remem Memory
> Automatic memory for Claude Code and Codex.
Language: **English** | [简体中文](README.zh-CN.md)
`remem` is a single Rust binary that automatically captures, distills, and injects project context across sessions: decisions, patterns, preferences, and learnings. Stop re-explaining your project every new session.
[](https://github.com/majiayu000/remem/actions/workflows/ci.yml)
[](LICENSE)
## The Problem
- **Session amnesia**: every new Claude Code session starts from zero.
- **Lost context**: bug-fix rationale and design decisions disappear after the session ends.
- **Preference fatigue**: the same preferences must be repeated every session.
- **No continuity**: long-running work is hard to resume with confidence.
## How remem Solves This
| Without remem | With remem |
|---|---|
| "We use FTS5 trigram tokenizer..." (every session) | Injected automatically from memory |
| "Do not use `expect()` in non-test code" (again) | Preference surfaced before you ask |
| "Last session we decided to..." (reconstruct manually) | Decision history with rationale |
| Bug context lost after session ends | Root cause + fix preserved |
## Install
```bash
# Option 1: Quick install (prebuilt binary)
curl -fsSL https://raw.githubusercontent.com/majiayu000/remem/main/install.sh | sh
# Option 2: Cargo
cargo install remem-ai --bin remem
# Option 3: Build from source
git clone https://github.com/majiayu000/remem.git
cd remem
cargo build --release
cp target/release/remem ~/.local/bin/
codesign -s - -f ~/.local/bin/remem # required on macOS ARM
# Configure detected Claude Code/Codex hooks + MCP
remem install
# Optional: target one host explicitly
remem install --target codex # auto | claude | codex | all
remem install --dry-run # preview config changes
```
Restart your AI coding tool after installation.
## How It Works
remem uses host-specific hook strategies:
```
Claude Code workflow
|
|- SessionStart -> Inject memories + preferences
|- UserPromptSubmit -> Register session, flush stale queues
|- PostToolUse -> Capture tool operations (queued, <1ms)
'- Stop -> Summarize in background (~6ms return)
Codex workflow
|
|- SessionStart -> Inject memories + preferences
'- Stop -> Summarize in background with Codex CLI
```
Codex does not install a high-frequency `PostToolUse(Bash)` observe hook by
default. Shell-heavy sessions must use the coalesced capture pipeline before
per-command capture is enabled again; otherwise Bash output can create an
unbounded backlog. Existing legacy hooks are also ignored unless
`REMEM_ENABLE_CODEX_BASH_OBSERVE=1` is set explicitly.
The capture pipeline starts with an append-only ledger:
`captured_events` stores raw hook/session evidence, `event_blobs` keeps large
payloads out of prompt-sized rows, and `extraction_tasks` coalesces work by
host/project/session instead of creating one LLM job per tool call. Curated
memory remains the promoted output of this pipeline, not the raw event itself.
## Search Architecture
remem uses 4-channel Reciprocal Rank Fusion (RRF) inspired by [Hindsight](https://github.com/vectorize-io/hindsight):
```
Query: "database encryption"
|
+----+------------------------------------+
| 4 parallel channels |
+-----------------------------------------+
| 1. FTS5 (BM25) trigram + OR |
| 2. Entity Index 1600+ entities |
| 3. Temporal "yesterday"/"last week" |
| 4. LIKE fallback short tokens |
+-------------+---------------------------+
|
RRF score = sum(1 / (60 + rank_i))
|
Top-K merged results
```
Enhancements:
- Entity graph expansion (2-hop multi-hop retrieval)
- Project-scoped entity search (no cross-project leakage)
- CJK segmentation support
- Chinese-English synonym expansion
- Title-weighted BM25 (`bm25(fts, 10.0, 1.0)`)
- Content-hash deduplication via `topic_key`
- Multi-step retrieval guidance in MCP tool descriptions
## Benchmark Snapshot
### LoCoMo
Full [LoCoMo](https://github.com/snap-research/locomo) benchmark (10 conversations, 1540 QA pairs after adversarial skip):
| Config | Overall | Single-hop | Multi-hop | Temporal | Open-domain | Ingest | Model |
|---|---:|---:|---:|---:|---:|---|---|
| **v1 (fair)** | **56.8%** | 67.1% | 39.0% | 53.9% | 28.1% | per-turn | gpt-5.4 |
| **v2 (optimized)** | **62.7%** | 72.3% | 61.3% | 40.5% | 56.2% | session_summary | gpt-5.4 |
### Internal Eval (1777 real memories)
| Metric | Value |
|---|---:|
| MRR | 0.858 |
| Hit Rate@5 | 1.000 |
| Dedup rate | 1.0% |
| Project leak | 0% |
| Self-retrieval | 100% |
### Local QA Eval
```bash
python3 eval/local/run_local_eval.py --n 20
```
| Metric | Score |
|---|---:|
| Overall | **85.0%** |
| Decision | 77.8% |
| Discovery | 87.5% |
| Preference | 100% |
| Source in top-20 | 90.0% |
Requires `.env` with `OPENAI_API_KEY` (optional `OPENAI_BASE_URL`, `OPENAI_MODEL`).
## Token Usage And Cost Reporting
remem records an AI usage ledger for its own background extraction, summary,
compression, and promotion calls. The CLI can report daily and weekly token
usage and estimated cost:
```bash
remem usage --days 14 --weeks 8
remem usage --project /path/to/project --days 30 --weeks 12
```
The report includes calls, input tokens, cache tokens, output tokens, reasoning
tokens, total tokens, estimated USD cost, and a precision note. Usage rows are
tagged by source:
- `anthropic_usage`: provider-reported usage from the Anthropic Messages API
- `codex_log`: exact token counts parsed from the current `codex exec --json`
`turn.completed.usage` event
- `text_estimate`: fallback estimate from prompt/response text length
Cost is an estimate, not an invoice. Historical rows may be text estimates or
may have been repriced from older rows that did not store the exact model.
Codex summarization defaults to `gpt-5.2`; set `REMEM_CODEX_MODEL=auto` to let
Codex choose its own default, or set any explicit Codex model name.
## Commands
```bash
remem install
remem uninstall
remem doctor
remem search "query"
remem search "query" --branch main --type decision --multi-hop --offset 10
remem show
remem eval
remem eval-local
remem backfill-entities
remem encrypt
remem api --port 5567
remem status
remem usage --days 14 --weeks 8
remem pending list-failed
remem pending retry-failed --dry-run
remem pending purge-failed --dry-run --older-than-days 7
remem review list
remem review approve
remem review discard
remem review edit --text "updated memory"
remem preferences list
remem preferences add "text"
remem preferences remove 42
remem context --cwd .
remem cleanup
remem dream [--project X] [--dry-run]
remem install --target codex
remem mcp
remem sync-memory --cwd .
```
## REST API
```bash
remem api --port 5567
```
| Endpoint | Method | Description |
|---|---|---|
| `/api/v1/search?query=&project=&type=&limit=&offset=&branch=&multi_hop=` | GET | Search memories |
| `/api/v1/memory?id=` | GET | Get one memory |
| `/api/v1/memories` | POST | Save memory |
| `/api/v1/status` | GET | System status |
## Security
- SQLCipher encryption at rest (`remem encrypt`)
- Data directory permissions (`0700`)
- Key file permissions (`0600`)
- API binds localhost only (`127.0.0.1`)
## Architecture Docs
See [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) for full internals and data flow.
## Uninstall
```bash
remem uninstall
rm -rf ~/.remem
```
## License
MIT