Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.
Scanned 9/5/2026
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---
name: braindb
description: "Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency."
homepage: https://github.com/Chair4ce/braindb
---
# BrainDB
Persistent, semantic memory for AI agents. Built for [OpenClaw](https://github.com/openclaw/openclaw).
---
## What It Does
Your AI forgets everything between sessions. BrainDB fixes that.
It gives your assistant a memory system that automatically captures important context from conversations and recalls it when relevant — who you are, what you're working on, what you've told it before. Memories persist across compaction, session resets, and restarts.
**How it works:**
```
You say something → OpenClaw captures important facts → BrainDB stores them
You ask something → OpenClaw recalls relevant memories → AI has context
```
No commands. No manual saving. It just works.
---
## Install
Requires Docker and ~4 GB RAM.
```bash
openclaw plugin install braindb
```
Or manually:
```bash
git clone https://github.com/Chair4ce/braindb.git ~/.openclaw/plugins/braindb
cd ~/.openclaw/plugins/braindb
bash install.sh
```
First run: 3–5 minutes (downloads embedding model). After that: ~10 seconds.
**What the installer does:**
1. Backs up your existing memory files to `~/.openclaw/braindb-backup/`
2. Builds and starts 3 Docker containers (Neo4j, embedder, gateway)
3. Patches your OpenClaw config (`~/.openclaw/openclaw.json`) to enable the plugin
4. Optionally offers to migrate existing workspace files into BrainDB
Review `install.sh` before running if you want to understand each step.
---
## What You Get
- **768-dim semantic search** — finds conceptually related memories, not just keyword matches
- **4 memory types** — episodic (events), semantic (facts), procedural (skills), association (links)
- **Tiered ranking** — semantic similarity always beats keyword match
- **Auto-dedup** — won't store near-duplicate memories
- **Hebbian reinforcement** — memories strengthen with use, decay without it
- **Query expansion** — understands colloquial phrases
- **98% recall accuracy** on a 50-test benchmark suite
- **12–20 ms** average query latency
---
## Security & Privacy
**Core operation is fully local:**
- Gateway binds to **localhost only** — not exposed to your network
- Neo4j and embedder are **not accessible** from the host (isolated Docker network)
- Neo4j password is **auto-generated** (24-char random)
- Optional **API key authentication** via `BRAINDB_API_KEY`
- Containers run as **non-root** users
- All embedding, search, and storage runs locally — no external API calls during normal operation
**What the installer reads/writes:**
- Reads your OpenClaw config (`~/.openclaw/openclaw.json`) to add the plugin entry
- Reads workspace files during optional migration (preview with `--scan` first)
- Writes `.env` with generated Neo4j credentials
- Creates Docker volumes for persistent storage
**Migration privacy notice:**
- **Default migration (`--no-swarm`):** Fully local. File contents never leave your machine.
- **Migration with swarm:** Sends file contents to Google's Gemini API for intelligent fact extraction. This is **opt-in only** — you must have swarm installed and explicitly allow it. Use `--no-swarm` to guarantee local-only processing.
- Always run `node migrate.cjs --scan` or `--dry-run` first to see exactly what would be processed.
---
## Migrating Existing Memories
Already have `MEMORY.md`, daily notes, or other workspace files? Import them:
```bash
node migrate.cjs --scan /path/to/workspace # Preview files (no data sent anywhere)
node migrate.cjs --dry-run /path/to/workspace # Extract facts locally, don't encode
node migrate.cjs --no-swarm /path/to/workspace # Import, fully local
node migrate.cjs /path/to/workspace # Import (uses swarm if available)
```
Your files are never modified. BrainDB copies facts from them — it doesn't replace anything.
---
## Failover
BrainDB fails gracefully:
1. **Gateway down:** OpenClaw works normally — the memory block is simply absent from prompts. Your AI still has `MEMORY.md` and workspace files.
2. **Neo4j down:** Gateway returns empty results. No errors, just no memories.
3. **Embedder down:** Falls back to text-only search (less accurate but functional).
Your workspace files are the safety net. BrainDB is additive — remove it and you're back to defaults with zero data loss.
---
## Uninstall
```bash
openclaw plugin remove braindb
```
The uninstaller exports all memories (JSON + readable markdown), stops containers, removes the plugin config from OpenClaw, and leaves your workspace files untouched. Docker volumes are preserved until you explicitly delete them.
---
## Performance
| Metric | Value |
|--------|-------|
| Recall accuracy | 98% (50-test suite) |
| Avg latency | 12–20 ms |
| Cold query | ~60 ms |
| Capacity | 10K+ memories |
| Storage | ~3 GB |
| RAM | ~2.5 GB |
---
## Links
- [Documentation](https://github.com/Chair4ce/braindb#readme)
- [OpenClaw](https://github.com/openclaw/openclaw)
---
MIT — [Oaiken LLC](https://oaiken.com)
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