
toolfs
by IceWhaleTech
🗂 ToolFS: A FUSE virtual filesystem for AI Agents, integrating memory, RAG & local data access with flexible MCP/tool chaining and a scalable plugin system
SKILL.md
name: toolfs description: Unified virtual filesystem framework for LLM agents. Provides access to files, memory, RAG, skills, and snapshots through a single interface. Use this skill when the user requests file operations, memory storage, semantic search, skill execution, or state management tasks. metadata: author: toolfs version: "1.0.0"
ToolFS
ToolFS is a unified virtual filesystem framework for LLM agents that provides access to files, memory, RAG systems, skills, and snapshots through a single /toolfs namespace.
Overview
ToolFS integrates multiple data sources and operations into one virtual filesystem:
- Memory: Persistent key-value storage for session data and context
- RAG: Semantic search over vector databases for document retrieval
- Filesystem: Access to mounted local directories
- Skills: Execute WASM-based skills mounted to virtual paths
- Snapshots: Create point-in-time snapshots and restore previous states
All operations respect session isolation, permission control, and audit logging for safe execution in sandboxed environments.
Available Skills
ToolFS is organized into functional modules. Each module provides specific capabilities:
| Module | Path | Description | Documentation |
|---|---|---|---|
| Memory | /toolfs/memory | Persistent storage for session data and context | Memory Skill |
| RAG | /toolfs/rag | Semantic search over vector databases | RAG Skill |
| Filesystem | /toolfs/<mount> | Access to mounted local directories | Filesystem Skill |
| Code | /toolfs/<skill> | Execute WASM or native skills | Code Skill |
| Snapshots | /toolfs/snapshots | Filesystem state snapshots and rollback | Snapshot Skill |
Quick Start
Memory Operations
# Read memory entry
GET /toolfs/memory/<entry_id>
# Write memory entry
PUT /toolfs/memory/<entry_id>
# List memory entries
LIST /toolfs/memory
See Memory Skill for details.
RAG Search
# Semantic search
GET /toolfs/rag/query?text=<query>&top_k=<number>
See RAG Skill for details.
Filesystem Access
# Read file
GET /toolfs/<mount_point>/<relative_path>
# Write file
PUT /toolfs/<mount_point>/<relative_path>
# List directory
LIST /toolfs/<mount_point>/<relative_path>
See Filesystem Skill for details.
Skill Execution
# Execute skill
GET /toolfs/<skill_mount_path>?text=<query>
See Skill Skill for details.
Snapshot Management
# Create snapshot
POST /toolfs/snapshots/create
# Rollback snapshot
POST /toolfs/snapshots/rollback
# List snapshots
GET /toolfs/snapshots
See Snapshot Skill for details.
Skill API (Chained Operations)
Chain multiple operations in a single request:
POST /toolfs/skills/chain
Content-Type: application/json
{
"operations": [
{
"type": "search_memory",
"query": "user preferences"
},
{
"type": "search_rag",
"query": "ToolFS configuration",
"top_k": 5
},
{
"type": "read_file",
"path": "/toolfs/data/config/settings.json"
}
]
}
Common Use Cases
- File Operations: "Read the config file from the project directory"
- Memory Persistence: "Store this conversation summary in memory"
- Semantic Search: "Search documents for information about X"
- Skill Execution: "Execute the RAG skill to find relevant content"
- State Management: "Create a snapshot before making changes"
- Recovery: "Restore the previous state"
Output Format
All operations return standardized result structures:
{
"type": "memory|rag|file|skill|snapshot",
"source": "identifier (ID, path, command, skill_name)",
"content": "string content or data",
"metadata": {},
"success": true|false,
"error": "error message if failed"
}
Error Handling
Errors are returned with structured responses:
{
"success": false,
"error": "Detailed error message",
"type": "error_type",
"source": "operation_identifier"
}
Common error types:
access_denied: Session does not have permissionnot_found: Resource not foundskill_error: Skill execution failedvalidation_error: Invalid input parametersfilesystem_error: Filesystem operation failed
Best Practices
- Use Sessions: Always create sessions with appropriate
allowed_pathsfor security - Chain Operations: Use
ChainOperationsto minimize round trips - Snapshot Before Changes: Create snapshots before major filesystem modifications
- Handle Errors: Check
successfield in results and provide fallback strategies - Leverage Metadata: Use metadata fields to pass context between operations
Module Documentation
For detailed information about each module, see:
- Memory Skill - Persistent storage operations
- RAG Skill - Semantic search operations
- Filesystem Skill - File and directory operations
- Skill Skill - Skill execution and management
- Snapshot Skill - State management operations
This documentation describes ToolFS version 1.0.0. Each module has its own detailed SKILL.md for specific operations.
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