0G execution posture
Inference status, authenticated compute readiness, storage posture, fine-tuning direction, alignment concepts, and operator-memory signals derived from the 0G stack.
CLI session targets a 0G/Galileo-compatible RPC endpoint.
Current RPC: https://evmrpc-testnet.0g.ai
Inference endpoints should back attacker, defender, and judge behaviors.
0G exposes an inference layer for application-side AI execution; wire model routing and auth before production traffic.
Blob archival is live; 0G storage mirroring remains the next step.
The control plane is already JSONL/Blob-compatible, which is the right staging format before 0G storage SDK ingestion.
Replay and ETL artifacts are ready to become supervised or preference-tuning corpora.
Use run telemetry, exploit narratives, and RLHF feedback as the seed dataset for 0G fine-tuning tools.
Alignment-node operations are optional for this control plane but should remain visible to operators.
Track whether governance wants additional verification or alignment workflows around inference outputs.
Vector analytics is online for agent memory and ETL fragments.
This check keeps the 0G-facing agent stack tied to retrieval quality, auditability, and operator feedback loops.
Operator task list
High-value follow-through items for the multi-agent 0G stack and the next wave of mission-control features.
Inference status
Current 0G SDK readiness for read-only browsing, authenticated compute, storage writes, memory persistence, and future fine-tuning.