Comparison
AISP vs OpenAI Swarm
OpenAI Swarm is an experimental framework for multi-agent orchestration, tightly coupled to the OpenAI API. AISP is open infrastructure that works with any LLM provider and any framework.
OpenAI Swarm
- → Requires OpenAI API key
- → GPT models only
- → No persistent sessions
- → No shared memory
- → Experimental research release
AISP
- → Any LLM provider
- → Self-hosted on WireGuard mesh
- → Persistent sessions (JetStream)
- → CRDT shared memory
- → Production on Blackhole mesh today
| Feature | AISP | OpenAI Swarm |
|---|---|---|
| Persistent sessions across restarts | ||
| Self-hosted, no OpenAI account needed | ||
| Any LLM provider | ||
| CRDT shared memory | ||
| ZK cryptographic identity | ||
| Sub-1ms mesh latency | ||
| Cross-framework agents | ||
| OpenAI-native tool calling | ||
| Handoff primitives | ||
| Assistants API integration |
Provider Independence
AISP is LLM-agnostic. Mix Claude, GPT-4, Llama, Mistral, and custom models in the same session. Swarm is OpenAI-only.
multi-provider.pyPython
from aisp import AISPClient
session = AISPClient().session.init()
# Claude agent writes to memory
claude_agent = ClaudeAgent(session_id=session.id)
claude_agent.run("Research the topic")
# memory["research"] = <claude output>
# GPT-4 agent reads the same memory
gpt_agent = GPTAgent(session_id=session.id)
gpt_agent.run("Write a report based on research")
# reads memory["research"] from CRDT store
# No OpenAI lock-in. No vendor dependency.Open Infrastructure, Any Provider
AISP gives you the multi-agent primitives without the vendor lock-in.