Comparison
AISP vs AutoGen
AutoGen is a framework for building conversational multi-agent systems. AISP is the infrastructure layer that makes those agents persistent, authenticated, and mesh-connected.
The right mental model
AutoGen gives your agents the ability to talk to each other. AISP gives them the ability to remember, persist, and find each other across network boundaries and process restarts. Together: AutoGen for the conversation, AISP for the infrastructure.
| Feature | AISP | AutoGen |
|---|---|---|
| Persistent sessions across restarts | ||
| Mesh transport (sub-1ms) | ||
| CRDT shared memory | ||
| ZK cryptographic identity | ||
| Cross-framework agents | ||
| Self-hosted infrastructure | ||
| Multi-agent conversation | ||
| Code execution sandbox | ||
| Human-in-the-loop | ||
| GroupChat orchestration |
AutoGen + AISP Together
autogen-aisp.pyPython
from aisp.autogen import AISPBridge
import autogen
# Standard AutoGen agents
assistant = autogen.AssistantAgent("assistant", llm_config=llm_config)
user = autogen.UserProxyAgent("user_proxy", code_execution_config={"work_dir": "tmp"})
# Add AISP bridge: persistent sessions + shared memory
bridge = AISPBridge(session_id="session_ffc4a366...")
bridge.attach(assistant)
bridge.attach(user)
# AutoGen conversation now has:
# - Persistent memory across restarts
# - Cross-agent CRDT state
# - Ed25519 signed messages
user.initiate_chat(assistant, message="Analyze the codebase")Add Persistence to AutoGen Today
The AISP-AutoGen bridge is available in the Python SDK beta.