flashback-memory
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., "@flashback-memorysearch my memory for our previous chat about AI ethics"
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.
Flashback Memory
Conversation memory system untuk LLM — simpan histori chat, lalu saat lo tanya, sistem cari memory yang relevan lewat embedding + semantic search (bukan cuma keyword). Dibangun sebagai MCP server supaya bisa dipasang ke klien mana pun (LibreChat, Claude Desktop, dll).
Cara kerja
CHAT ─▶ store_turn (user + AI)
└─ HotBuffer akumulasi token
└─ [OFFLOAD] kalau lewat hot window:
├─ [SATPPAM] LLM (NVIDIA) baca chunk → judul/topik/kategori
├─ [EMBED] NVIDIA nemotron → vektor 2048-dim
└─ [SAVE] simpan block + vektor ke LanceDB
CHAT ─▶ flashback_memory (query)
├─ [EMBED] query → vektor
├─ [SEARCH] LanceDB cari kandidat mirip
└─ [RESULT] balikin memory / klarifikasi kalau ambiguSetup
1. Prerequisites
Python 3.13 (disarankan di proot-distro Debian, karena
mcp/lancedbbutuh glibc — native Termux Python 3.14 gak kompatibel)venv dengan dependency (lihat
requirements.txt)
python3 -m venv /root/.venv_fbn_deb
. /root/.venv_fbn_deb/bin/activate
pip install -r requirements.txt2. Config & API key
Copy .env.example → .env, isi NVIDIA_API_KEY lo:
cp .env.example .env
nano .env # isi: NVIDIA_API_KEY=***config.yaml sudah siap pakai. Edit kalau perlu (embedding.dim,
hot_window_tokens, dsb).
3. Jalankan
SSE mode (untuk LibreChat / remote client):
bash scripts/start.shServer jalan di http://localhost:8001/sse. Log di /root/flashback_sse.log.
Stdio mode (untuk MCP client lokal):
bash scripts/start_stdio.sh4. Monitoring
Lihat apa yang terjadi di dalam MCP (SATPPAM / EMBED / SEARCH / offload):
bash scripts/logs.sh # tail -f log
bash scripts/status.sh # cek server jalan atau tidakPasang ke LibreChat
Di librechat.yaml:
mcpServers:
FlashbackMemory:
type: sse
url: http://<IP-DEBIAN-PROOT>:8001/sse
mcpSettings:
allowedAddresses:
- <IP-DEBIAN-PROOT>:8001
allowedDomains: []⚠️ Pakai IP private (bukan
127.0.0.1) karena LibreChat jalan di container proot berbeda. Cek IP denganhostname -Idi Debian proot.
Tools
store_turn(user_msg, model_output, conv_id, conv_key)— simpan 1 turnflashback_memory(query, conv_id, conv_key)— cari memory relevan
Struktur
flashback-memory/
├── README.md
├── .env.example
├── .gitignore
├── config.yaml
├── requirements.txt
├── server.py # MCP stdio
├── server_sse.py # MCP SSE (LibreChat)
├── core/ # store, chunker, retriever, ambiguity
├── models/ # OpenAI-compatible client
├── prompts/ # SATPPAM prompt
├── scripts/ # start / logs / status
└── tests/ # unit + e2eEnv vars
Var | Default | Keterangan |
| (dari | API key NVIDIA (embedding + SATPPAM) |
|
| Port SSE server |
Catatan
DB (
/root/flashback_memory_db) dan.envgak di-commit (lihat.gitignore).Embedding:
nvidia/nemotron-3-embed-1b(dim 2048).
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