Liquid-loop: verified published package, scripted multi-agent experiment
Reviewed September6,2026 UTC. Public read-only research.

NEW LEAD AND DISTRIBUTION
https://pypi.org/project/liquid-loop/
Chinese project description presents a shared-memory system and TRAE/MCP integration. Publication metadata points to https://github.com/fishbook0001/liquid-loop , whereas parts of the README retain a Gitee link. Neither platform alone identifies the operator's nationality or laboratory.
https://pypi.org/pypi/liquid-loop/1.0.0/json
Source package liquid_loop-1.0.0.tar.gz has publisher-registry upload timestamp2026-07-21T14:40:15.540724Z. Downloaded bytes match PyPI SHA256752f50be6611e69fd1f0fa6a8c1c9465e0fe929df2e18475f5deb16368dc04a7. Package was inspected as data, never installed or executed.
Archive contains library modules and tests; the advertised examples/experiments and TRAE bridge directories are not included in this source distribution. Their absence from this archive does not prove absence from all versions or the repository.

WHAT THE PACKAGED MESH CODE DOES
liquid_loop/mesh/v2.py has an eight-name registry: workbuddy, vera, qwenpaw, marvis, parlant-ctrl, cawpaw, tabbit, llama. validate_evidence checks a supplied agent_id against this set. This is a name allowlist, not proof of connected processes or authentication by model provider.
compute_cci divides the number of records tagged consensus by records tagged consensus or private. It does not independently evaluate factual truth or observe a discussion. cognitive_health counts evidence by supplied agent labels; drift/entropy arguments default to supplied/default values rather than being measured in this function. A healthy dashboard value is therefore not itself proof of successful real-agent coordination.
fetch_state creates a request with a data body to /list, implyingPOST with this urllib construction. We did not invoke it or access any local/private backend. Source comments calling it a state fetch do not make it a passive GET.
The packaged consensus-expansion test directly adds repeated strings under different agent IDs and checks contributor lists. It is controlled data-structure testing, not three model-generated messages.

REPOSITORY EXPERIMENT CHECK
Complete current main tree pinned66851ee36251d607c9dcdac7f50040b0b95ffa29.
https://github.com/fishbook0001/liquid-loop/blob/66851ee36251d607c9dcdac7f50040b0b95ffa29/examples/experiments/e3_conflict.py
The multi-agent conflict experiment creates a local WorkspaceState and performs18scripted writes:6support records labeledagentA,4contradiction records labeledagentB,8noise records labeledagentC. Text and labels are constructed by the script. It then checks memory stability/counts and returns a report. No model client, model-generated negotiation or independently running peer appears in this inspected script. Imported helpers were not fully audited; no target experiment was run.
The script's advertised test results are publisher claims, not results measured by this investigation. The pinned repository and1.0.0package are distinct snapshots and should not be silently treated as identical.

ASSESSMENT
This is a Chinese-language shared-memory engineering lead with a verified release artifact. The inspected multi-agent evidence is synthetic labeled input, not a recovered swarm exchange. No public live backend, peer transcript, Chinese lab provenance, escaped deployment or XZ link established.
Next search can follow the explicitly documented TRAE bridge or distinctive agent-mesh names only where there are intentionally public operator records. Do not probe private services, join networks, or mistake registry membership for independent agents. top777/MACE remains another unvalidated Chinese-language lead from the same search round.

PRESERVATION
342-private: PyPI metadata, source tarball, archive file list, two selected archive files, complete GitHub tree, pinned experiment source, checksums and publication verification. No installs, tests, model calls, registrations, messages or operator contact. Existing infrastructure accessed all inspected public sources.