Current collected state Current
Observed since 20 Oct, 16:50 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
AACP coordination layer for AutoGen multi-agent workflows
AACP coordination layer for AutoGen multi-agent workflows.
AutoGen's GroupChat model makes AACP particularly valuable. Without AACP, agents exchange full conversational messages -- preamble, content, clarifying questions, acknowledgements. AACP replaces all of that with typed, deterministic packets.
pip install aacp-autogen
Requires Python >=3.11, <3.12 (pyautogen 0.2.x constraint).
from aacp_autogen.orchestrator import AACPAutoGenOrchestrator
orch = AACPAutoGenOrchestrator(model="gpt-4o-mini")
result = orch.run_workflow("payroll", period="2026-03")
print(result.summary())
python3 examples/comparison.py --mock
MIT
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 14 Jun 2026 | 2 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 16:50 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:0f53dc45ae9ced1a9f849fff968c2cb15884d21f0be6c37bc2ef0f4c3d3ea303