vipune 0.2.5

A minimal memory layer for AI agents
Documentation
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# CLI Reference

Complete reference for all vipune commands.

## Global Flags

These flags apply to all commands:

| Flag | Short | Description |
|------|-------|-------------|
| `--json` | | Output as JSON (pretty-printed) instead of human-readable text |
| `--project <id>` | `-p` | Project identifier (auto-detected from git if omitted) |
| `--db-path <path>` | | Override database path |

## Commands

### add

Store a memory.

```
vipune add <text> [--metadata <json>] [--force]
```

**Arguments:**
- `text` - Memory text content (required)

**Flags:**
- `-m, --metadata <json>` - Optional JSON metadata (e.g., `{"topic": "auth"}`)
- `--force` - Bypass conflict detection and add regardless

**Behavior:**
- Generates semantic embedding for the text
- Checks for similar existing memories (similarity ≥ threshold)
- If conflicts found: returns exit code 2, lists conflicting memories
- If `--force` used: skips conflict check and adds memory

**Exit codes:**
- `0` - Successfully added
- `1` - Error (invalid input, database error)
- `2` - Conflicts detected (similar memories exist)

**Human output:**
```
Added memory: 123e4567-e89b-12d3-a456-426614174000
```

**Conflicts output:**
```
Conflicts detected: 1 similar memory/memories found
Proposed: Authentication uses OAuth2
Use --force to add anyway
  123e4567-e89b-12d3-a456-426614174000 (similarity: 0.94)
    Auth system uses OAuth2 for login
```

**JSON output (success):**
```json
{
  "status": "added",
  "id": "123e4567-e89b-12d3-a456-426614174000"
}
```

**JSON output (conflicts):**
```json
{
  "status": "conflicts",
  "proposed": "Authentication uses OAuth2",
  "conflicts": [
    {
      "id": "123e4567-e89b-12d3-a456-426614174000",
      "content": "Auth system uses OAuth2 for login",
      "similarity": 0.94
    }
  ]
}
```

---

### search

Find memories by semantic similarity.

```
vipune search <query> [--limit <n>] [--recency <weight>] [--hybrid]
```

**Arguments:**
- `query` - Search query text (required)

**Flags:**
- `-l, --limit <n>` - Maximum results to return (default: `5`)
- `--recency <weight>` - Recency bias for scoring, 0.0 to 1.0 (default: from config, typically `0.3`)
- `--hybrid` - Enables hybrid search combining semantic similarity with FTS5 full-text search using Reciprocal Rank Fusion (RRF)

**Behavior:**
- Generates embedding for query
- Finds memories with highest cosine similarity
- Combines semantic similarity with time decay for final score
- Returns results sorted by final score (highest first)
- All memories in current project scope

**Recency scoring:**
The final score combines: `(1 - recency_weight) * similarity + recency_weight * time_score`
- `recency_weight = 0.0`: Pure semantic similarity
- `recency_weight = 1.0`: Pure recency (newest first)
- `recency_weight = 0.3`: Default balance (70% semantic, 30% recency)

**Exit codes:**
- `0` - Success (may return empty results if no matches)

**Human output:**
```
123e4567-e89b-12d3-a456-426614174000 [score: 0.95]
  Alice works at Microsoft as a senior engineer

234e5678-e89b-12d3-a456-426614174001 [score: 0.87]
  Bob is a software engineer at Google
```

**JSON output:**
```json
{
  "results": [
    {
      "id": "123e4567-e89b-12d3-a456-426614174000",
      "content": "Alice works at Microsoft as a senior engineer",
      "similarity": 0.95,
      "created_at": "2024-01-15T10:30:00Z"
    },
    {
      "id": "234e5678-e89b-12d3-a456-426614174001",
      "content": "Bob is a software engineer at Google",
      "similarity": 0.87,
      "created_at": "2024-01-16T14:20:00Z"
    }
  ]
}
```

**Recency example:**
```bash
# Default recency balance (0.3)
vipune search "authentication"

# High recency bias (recent memories rank higher)
vipune search "authentication" --recency 0.7

# Pure semantic similarity (no time bias)
vipune search "authentication" --recency 0.0
```

---

### get

Retrieve a memory by ID.

```
vipune get <id>
```

**Arguments:**
- `id` - Memory ID (required)

**Exit codes:**
- `0` - Memory found
- `1` - Memory not found or error

**Human output:**
```
ID: 123e4567-e89b-12d3-a456-426614174000
Content: Alice works at Microsoft as a senior engineer
Project: git@github.com:user/repo.git
Metadata: {"topic": "team"}
Created: 2024-01-15T10:30:00Z
Updated: 2024-01-15T10:30:00Z
```

**JSON output:**
```json
{
  "id": "123e4567-e89b-12d3-a456-426614174000",
  "content": "Alice works at Microsoft as a senior engineer",
  "project_id": "git@github.com:user/repo.git",
  "metadata": "{\"topic\": \"team\"}",
  "created_at": "2024-01-15T10:30:00Z",
  "updated_at": "2024-01-15T10:30:00Z"
}
```

---

### list

List all memories in the current project.

```
vipune list [--limit <n>]
```

**Flags:**
- `-l, --limit <n>` - Maximum results to return (default: `10`)

**Behavior:**
- Returns memories ordered by creation time (newest first)
- Limited to current project scope

**Exit codes:**
- `0` - Success (may return empty list)

**Human output:**
```
123e4567-e89b-12d3-a456-426614174000: Alice works at Microsoft
234e5678-e89b-12d3-a456-426614174001: Bob is a software engineer at Google
```

**JSON output:**
```json
{
  "memories": [
    {
      "id": "123e4567-e89b-12d3-a456-426614174000",
      "content": "Alice works at Microsoft",
      "created_at": "2024-01-15T10:30:00Z"
    },
    {
      "id": "234e5678-e89b-12d3-a456-426614174001",
      "content": "Bob is a software engineer at Google",
      "created_at": "2024-01-16T14:20:00Z"
    }
  ]
}
```

---

### delete

Delete a memory by ID.

```
vipune delete <id>
```

**Arguments:**
- `id` - Memory ID (required)

**Exit codes:**
- `0` - Memory deleted
- `1` - Memory not found or error

**Human output:**
```
Deleted memory: 123e4567-e89b-12d3-a456-426614174000
```

**JSON output:**
```json
{
  "status": "deleted",
  "id": "123e4567-e89b-12d3-a456-426614174000"
}
```

---

### update

Update a memory's content.

```
vipune update <id> <text>
```

**Arguments:**
- `id` - Memory ID (required)
- `text` - New content (required)

**Behavior:**
- Generates new embedding for updated content
- Preserves: ID, project ID, creation timestamp
- Updates: content, embedding, updated_at timestamp

**Exit codes:**
- `0` - Memory updated
- `1` - Memory not found or error

**Human output:**
```
Updated memory: 123e4567-e89b-12d3-a456-426614174000
```

**JSON output:**
```json
{
  "status": "updated",
  "id": "123e4567-e89b-12d3-a456-426614174000"
}
```

---

### version

Display version information.

```
vipune version
```

**Exit codes:**
- `0` - Success

**Human output:**
```
vipune 0.1.1
```

**JSON output:**
```json
{
  "version": "0.1.1",
  "name": "vipune"
}
```

*Note: Output version matches your installed version. Update this example when upgrading vipune.*

---

### mcp

Start vipune as an MCP (Model Context Protocol) server over stdio. This enables AI agents like Claude Code and Cursor to use vipune as a native memory provider.

```
vipune mcp
```

**Behavior:**
- Starts MCP server on stdin/stdout
- Exposes three tools: `store_memory`, `search_memories`, `list_memories`
- Automatically detects project from git repository
- Uses default database path (`~/.vipune/memories.db`)

**Available Tools:**

| Tool | Description |
|------|-------------|
| `store_memory` | Store information for later recall |
| `search_memories` | Find memories by meaning |
| `list_memories` | List recent memories |

**Exit codes:**
- `0` - Success
- `1` - Error (initialization failed)

**Example MCP configuration (Claude Code):**
```json
{
  "mcpServers": {
    "vipune": {
      "command": "vipune",
      "args": ["mcp"]
    }
  }
}
```

---

## Project Detection

vipune automatically detects projects from git repositories. When inside a git repo, the project ID is inferred from the remote origin URL.

**To override project scope:**
```bash
vipune add "Memory for specific project" --project "my-custom-project"
```

**Project ID examples:**
- Inside `~/projects/myapp/.git`: `git@github.com:user/myapp.git`
- No git repository: `default` (all memories share default scope)

---

## Error Handling

All commands return exit code `1` on error, with error message to stderr or JSON error response.

**JSON error format:**
```json
{
  "error": "Memory not found"
}
```

**Common errors:**
- Memory not found (`get`, `update`, `delete`)
- Invalid metadata (not valid JSON)
- Database errors (permissions, disk full)
- Missing or invalid configuration

---

## Examples

**Semantic search:**
```bash
vipune search "how do we handle authentication"
```

**Hybrid search (keywords):**
```bash
vipune search "JWT tokens" --hybrid
```

*See [Search Guide](search.md) for when to use hybrid vs semantic search and how recency weighting works.*

**Find by metadata (via search):**
```bash
# High recency bias for time-sensitive queries
vipune search "recent changes" --recency 0.8

# Pure semantic search for knowledge retrieval
vipune search "authentication architecture" --recency 0.0
```

**Force add despite conflicts:**
```bash
vipune add "Duplicate memory" --force
```

**Batch import (loop in shell):**
```bash
for fact in facts.txt; do
  vipune add "$fact" || break
done
```

**Export all memories:**
```bash
vipune list --limit 9999 --json > memories.json
```

**Find and update:**
```bash
# Search for memory
vipune search "auth implementation"
# Get output ID, then update
vipune update 123e4567-e89b-12d3-a456-426614174000 "Auth uses JWT with refresh tokens"
```

**JSON processing with jq:**
```bash
# Add and extract ID
ID=$(vipune add --json "Important fact" | jq -r '.id')
echo "Added: $ID"

# Search and get highest similarity
vipune search --json "test" | jq '.results[0].similarity'

# Check for conflicts in script
if vipune add --json "New fact" | jq -e '.conflicts' > /dev/null; then
  echo "Conflict detected!"
fi
```

**Project-specific operations:**
```bash
# Add memory to specific project
vipune --project "my-company/project" add "Company-specific knowledge"

# Search within project
vipune --project "my-company/project" search "API keys"
```

**See also:**
- [Search Guide]search.md — When to use hybrid vs semantic search, recency weighting
- [Query Guide]vipune-query-guide.md — Writing effective semantic queries