Note
COMING SOON! 🚀 Serialization is not yet implemented in Python, but is available today in TypeScript
Serialization is a process of converting complex data structures or objects (e.g., agents, memories, or tools) into a format that can be easily stored, transmitted, and reconstructed later. Think of it as creating a blueprint of your object that can be used to rebuild it exactly as it was.
BeeAI framework provides robust serialization capabilities through its built-in Serializer
class that enables:
- 💾 Persistence: Store agent state, memory, tools, and other components
- 🔄 Transmission: Send complex objects across network boundaries or processes
- 📦 Snapshots: Create point-in-time captures of component state
- 🔧 Reconstruction: Rebuild objects from their serialized representation
Coming soon
Most framework components implement the Serializable
class with these key methods:
Method | Purpose |
---|---|
createSnapshot() |
Captures the current state |
loadSnapshot(snapshot) |
Applies a snapshot to the current instance |
fromSnapshot(snapshot) |
Creates a new instance from a snapshot (static) |
fromSerialized(data) |
Creates a new instance from serialized data (static) |
The serialization process involves:
- Converting complex objects into a format that preserves their structure and data
- Including type information to enable proper reconstruction
- Managing references to maintain object identity across serialization boundaries
- Handling special cases like circular references and custom types
Most BeeAI components can be serialized out of the box. Here's an example using memory:
Coming soon
[TIP!] Most framework components are
Serializable
.
If you want to serialize a class that the Serializer
does not know, you may register it using one of the following options.
1. Register External Classes
You can register external classes with the serializer:
Coming soon
2. Implement the Serializable
Interface
For deeper integration, extend the Serializable class:
Coming soon
[NOTE!] Failure to register a class that the
Serializer
does not know will result in theSerializerError
error. BeeAI framework avoids importing all potential classes automatically to prevent increased application size and unnecessary dependencies.
Coming soon
- All serialization examples are coming soon in python.