# vipune `/ˈʋi.pu.ne/`
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A minimal memory layer for AI agents.
In Finnish mythology, Antero Vipunen is a giant who sleeps underground, holding all the world's knowledge and ancient songs. vipune is your agent's sleeping giant — a local knowledge store that remembers everything.
Store semantic memories, search by meaning, and detect conflicts. Single binary CLI. No API keys required.
## Features
- **Semantic search** - Find memories by meaning, not keywords (ONNX embeddings, bge-small-en-v1.5)
- **Conflict detection** - Automatically warns when adding duplicate or similar memories
- **Zero configuration** - Works out of the box (auto-detected git projects, sensible defaults)
- **Single binary** - Just one CLI tool, no daemon, no database server
- **No API keys** - Everything runs locally, no network dependencies
- **Project scoped** - Memories isolated by git repository
## Installation
### Platform Support
**Supported:** macOS ARM64, Linux x86_64, Linux ARM64
**Not supported:** Windows (due to ONNX Runtime compilation complexity)
### Prerequisites
For source installation:
- Rust 1.70+ (install via https://rustup.rs)
- System dependencies for ONNX Runtime:
- Linux: libgomp1, libc6
- macOS: None required
### Pre-built binary
**macOS Apple Silicon (arm64)**
Download and extract:
```bash
curl -sSfLO https://github.com/randomm/vipune/releases/latest/download/vipune-aarch64-apple-darwin.tar.xz
tar xf vipune-aarch64-apple-darwin.tar.xz
```
Install to system PATH (requires sudo):
```bash
sudo mkdir -p /usr/local/bin && sudo mv vipune /usr/local/bin/
```
Or install to user directory (no sudo):
```bash
mkdir -p ~/.local/bin && mv vipune ~/.local/bin/
export PATH="$HOME/.local/bin:$PATH"
```
> Add the `export` line to your `~/.zshrc` or `~/.bashrc` to make it permanent.
**Linux x86_64**
Download and extract:
```bash
curl -sSfLO https://github.com/randomm/vipune/releases/latest/download/vipune-x86_64-unknown-linux-gnu.tar.xz
tar xf vipune-x86_64-unknown-linux-gnu.tar.xz
```
Install to system PATH:
```bash
sudo mkdir -p /usr/local/bin && sudo mv vipune /usr/local/bin/
```
**Linux ARM64**
Download and extract:
```bash
curl -sSfLO https://github.com/randomm/vipune/releases/latest/download/vipune-aarch64-unknown-linux-gnu.tar.xz
tar xf vipune-aarch64-unknown-linux-gnu.tar.xz
```
Install to system PATH:
```bash
sudo mkdir -p /usr/local/bin && sudo mv vipune /usr/local/bin/
```
### Build from source
**Latest release (recommended)**
```bash
cargo install vipune
```
**Or clone and build manually**
```bash
git clone https://github.com/randomm/vipune.git
cd vipune && cargo build --release
```
The binary will be at `./target/release/vipune`. Install it:
```bash
sudo mkdir -p /usr/local/bin && sudo cp target/release/vipune /usr/local/bin/
```
Or add to PATH temporarily:
```bash
export PATH="$(pwd)/target/release:$PATH"
```
### Uninstall
Remove the binary (whichever method you used to install):
```bash
sudo rm /usr/local/bin/vipune
```
```bash
rm ~/.local/bin/vipune
```
```bash
cargo uninstall vipune
```
Optionally, clear all data:
```bash
rm -rf ~/.vipune ~/.config/vipune
```
## Quick Start
Add a memory:
```bash
vipune add "Alice works at Microsoft"
```
Search by semantic meaning:
```bash
vipune search "where does alice work"
```
Add with metadata (optional):
```bash
vipune add "Auth uses JWT tokens" --metadata '{"topic": "authentication"}'
```
## CLI Commands
| `vipune add <text>` | Store a memory |
| `vipune search <query>` | Find memories by meaning |
| `vipune get <id>` | Retrieve a memory by ID |
| `vipune list` | List all memories |
| `vipune delete <id>` | Delete a memory |
| `vipune update <id> <text>` | Update a memory's content |
| `vipune version` | Show version |
[Complete CLI reference](docs/cli-reference.md) • [Quickstart guide](docs/quickstart.md)
## Library Usage
vipune can also be used as a Rust crate for programmatic integration:
```toml
# Cargo.toml
[dependencies]
vipune = "0.1"
```
```rust
use vipune::{Config, MemoryStore, detect_project};
// Initialize memory store
let config = Config::default();
let mut store = MemoryStore::new(
config.database_path.as_path(),
&config.embedding_model,
config.clone()
).expect("Failed to initialize store");
// Add a memory
let project_id = "my-project";
let memory_id = store.add(&project_id, "Alice works at Microsoft", None)
.expect("Failed to add memory");
// Search memories
let results = store.search(&project_id, "where does alice work", 10, 0.0)
.expect("Failed to search");
for memory in results {
println!("{:.2}: {}", memory.similarity.unwrap_or(0.0), memory.content);
}
```
**See the crate documentation at [docs.rs](https://docs.rs/vipune) for complete API reference.**
## Configuration
vipune works with zero configuration. All paths use the user's home directory:
**Default paths:**
- Database: `~/.vipune/memories.db`
- Model cache: `~/.vipune/models/`
- Config file: `~/.config/vipune/config.toml`
**Environment variables (override defaults):**
- `VIPUNE_DATABASE_PATH` - SQLite database location
- `VIPUNE_EMBEDDING_MODEL` - HuggingFace model ID (default: `BAAI/bge-small-en-v1.5`)
- `VIPUNE_MODEL_CACHE` - Model download cache directory
- `VIPUNE_PROJECT` - Project identifier (overrides auto-detection)
- `VIPUNE_SIMILARITY_THRESHOLD` - Conflict detection threshold, 0.0-1.0 (default: `0.85`)
- `VIPUNE_RECENCY_WEIGHT` - Recency bias in search results, 0.0-1.0 (default: `0.3`)
**Config file (`~/.config/vipune/config.toml`):**
```toml
database_path = "~/.vipune/memories.db"
embedding_model = "BAAI/bge-small-en-v1.5"
model_cache = "~/.vipune/models"
similarity_threshold = 0.85
recency_weight = 0.3
```
## Agent Integration
vipune works with any agent that can run shell commands — no plugins, adapters, or API keys required. Configure your agent with a few lines of instructions, grant shell command permissions, and the agent can use `vipune search` and `vipune add` to maintain persistent memory across tasks.
**[→ See Agent Integration Guide](docs/agent-integration.md)** for per-tool setup instructions (Claude Code, Cursor, Windsurf, Cline, Roo Code, GitHub Copilot, Goose, Aider, OpenCode, Zed, and more).
**Exit codes for agent workflows:**
- `0` - Success
- `1` - Error (missing file, invalid input, etc.)
- `2` - Conflicts detected (similar memories found)
## Recency Scoring
Search results can be weighted by recency using the `--recency` flag or `VIPUNE_RECENCY_WEIGHT` config:
```bash
# Increase recency bias (recent memories rank higher)
vipune search "authentication" --recency 0.7
# Pure semantic similarity (no recency bias)
vipune search "authentication" --recency 0.0
```
The final score combines semantic similarity and recency time decay:
- `score = (1 - recency_weight) * similarity + recency_weight * time_score`
- Default balance: 70% semantic, 30% recency
## License
Apache-2.0 © [Janni Turunen](https://github.com/randomm/vipune)
## Links
- [GitHub](https://github.com/randomm/vipune)
- [Issues](https://github.com/randomm/vipune/issues)
- [CLI Reference](docs/cli-reference.md)
- [Quickstart](docs/quickstart.md)