
During June 2026, contributed to the elizaOS/eliza repository by developing the Eliza Rollout Plugin Training Data Capture feature. This work involved adding a community registry entry for the @wasmagent/eliza-rollout-plugin, enabling the capture of elizaOS action runs as structured JSON data for AI training and auditability. The approach focused on integrating plugin development with data processing workflows, supporting scalable model improvements and safer plugin adoption. By enhancing the plugin ecosystem through registry integration, the contribution established clear pathways for community involvement and future extensibility, demonstrating a practical application of AI training and data-driven methodologies within a collaborative open-source environment.
June 2026 focused on expanding the plugin ecosystem and enabling data-driven training for Eliza. Delivered the Eliza Rollout Plugin Training Data Capture by adding a community registry entry for @wasmagent/eliza-rollout-plugin to capture elizaOS action runs for training purposes. This enables data collection for model improvements and auditability, paving the way for more accurate rollouts and safer plugin adoption. The change is tracked in commit 58c291ff13932a4315821ae61808dfa9d1e69bf6 (feat(registry): add @wasmagent/eliza-rollout-plugin community entry (#9244)).
June 2026 focused on expanding the plugin ecosystem and enabling data-driven training for Eliza. Delivered the Eliza Rollout Plugin Training Data Capture by adding a community registry entry for @wasmagent/eliza-rollout-plugin to capture elizaOS action runs for training purposes. This enables data collection for model improvements and auditability, paving the way for more accurate rollouts and safer plugin adoption. The change is tracked in commit 58c291ff13932a4315821ae61808dfa9d1e69bf6 (feat(registry): add @wasmagent/eliza-rollout-plugin community entry (#9244)).

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