Hermes Agent Community Plugin for Automated Kanban Board Management
Hermes Agent community members have developed a plugin that automates Kanban board management by putting a team of Hermes profiles in charge of a repository over time. Each cycle, the plugin checks the real state of the repository (git, tests, CI), turns what it finds into proposed work on the Kanban board, and waits for approval before making any changes.
Key Points:
Plugin Architecture: The plugin uses a team of Hermes profiles to manage the Kanban board, with each profile responsible for a specific aspect of the board.
Cycle-Based Workflow: The plugin runs in cycles, checking the repository state and updating the Kanban board accordingly.
Approval-Based Changes: The plugin waits for approval before making any changes to the Kanban board.
🔗 Resources:
- Original post ↗
- Hermes Agent community plugin
- Hermes Desktop
- Kanban board management
🚀 Hermes Plugin Catalog
The Hermes Plugin Catalog is now available, featuring a proper catalog built right into Hermes Desktop where users can browse community and official plugins, see what they do, and install them without hunting down repositories or setup.
Key Points:
Plugin Catalog: The Hermes Plugin Catalog provides a centralized location for users to discover and install plugins.
Community and Official Plugins: The catalog features both community and official plugins, making it easy for users to find what they need.
Easy Installation: Users can install plugins directly from the catalog without having to hunt down repositories or setup.
🔗 Resources:
- Original post ↗
- Hermes Plugin Catalog
- Hermes Desktop
- Plugin installation
🤖 Real-Time Styling with @typesafeai Jev
Messing around with @typesafeai Jev for real-time styling. If you can define a bounded, semantically meaningful property space, you can project a natural language expression into that space in one generation step.
Key Points:
Real-Time Styling: Jev enables real-time styling by projecting natural language expressions into a bounded property space.
Property Space Definition: The property space must be bounded and semantically meaningful to enable real-time styling.
Generation Step: The generation step allows for the projection of natural language expressions into the property space.
🔗 Resources:
- Original post ↗
- @typesafeai Jev
- Real-time styling
- Property space definition
🚀 MOCC-R1: Reinforcing Reasoning-Response Consistency for Multimodal Counselor Response Generation
MOCC-R1: Reinforcing Reasoning-Response Consistency for Multimodal Counselor Response Generation. Wenjie Zheng, Qiming Xie, Jianfei Yu, Rui Xia. https://arxiv.org/abs/2609.17180 ↗ [𝚌𝚜.𝙰𝙸]
Key Points:
Multimodal Counselor Response Generation: MOCC-R1 generates multimodal counselor responses by reinforcing reasoning-response consistency.
Reasoning-Response Consistency: The model ensures consistency between reasoning and response to generate high-quality counselor responses.
Multimodal Response Generation: The model generates responses in multiple modalities, including text and images.
🔗 Resources:
- Original post ↗
- MOCC-R1
- Multimodal counselor response generation
- Reasoning-response consistency
🚀 P-POSEMEM: Projective Semantic Memory for Consistent Language Grounding under Pose-Graph Rewrites
P-POSEMEM: Projective Semantic Memory for Consistent Language Grounding under Pose-Graph Rewrites. Ha Sier, Ali Salmasi, Mengya Xu, Haizhou Zhang, Jie Lu, Zhuo Zou, Xianjia Yu, Tomi Westerlund. https://arxiv.org/abs/2609.15475 ↗ [𝚌𝚜.𝚁𝙾]
Key Points:
Projective Semantic Memory: P-POSEMEM uses projective semantic memory to enable consistent language grounding.
Pose-Graph Rewrites: The model rewrites pose-graphs to ensure consistent language grounding.
Consistent Language Grounding: The model ensures consistent language grounding by using projective semantic memory.
🔗 Resources:
- Original post ↗
- P-POSEMEM
- Projective semantic memory
- Pose-graph rewrites
🚨 Gemini AI Access Exposed During Cybersecurity Test
Gemini AI access was exposed during a cybersecurity test when a third-party granted internet access to models. A reminder for stringent third-party risk controls across Europe’s AI ecosystem. We’ll monitor for impacts on Swedish/…
Key Points:
Gemini AI Access Exposed: Gemini AI access was exposed during a cybersecurity test.
Third-Party Risk Controls: Stringent third-party risk controls are necessary to prevent similar incidents.
Impact on Swedish AI Ecosystem: The incident may have impacts on the Swedish AI ecosystem.
🔗 Resources:
- Original post ↗
- Gemini AI
- Cybersecurity test
- Third-party risk controls
🚀 Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning
Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning. Yuwei Liang, Jian Liang, Dapeng Hu, Yinuo Xu, Ran He. https://arxiv.org/abs/2609.17386 ↗ [𝚌𝚜.𝙻𝙶]
Key Points:
Temperature Scaling: The model uses temperature scaling to calibrate test-time prompt tuning.
Confidence Gap: The model bridges the confidence gap by calibrating test-time prompt tuning.
Prompt Tuning: The model tunes prompts to improve performance.
🔗 Resources:
- Original post ↗
- Temperature scaling
- Test-time prompt tuning
- Confidence gap
🚀 Meet the Keynote Speakers at ODSC AI West 2026
Meet the keynote speakers taking the stage at ODSC AI West 2026 and explore the experts and ideas shaping what’s next in AI. #DataScience #AI #ArtificialIntelligence #ODSC https://hubs.li/Q04xRrMB0 ↗
Key Points:
ODSC AI West 2026: The conference features keynote speakers and experts in AI.
Keynote Speakers: The conference showcases the latest ideas and research in AI.
Data Science and AI: The conference covers topics in data science and AI.
🔗 Resources:
- Original post ↗
- ODSC AI West 2026
- Keynote speakers
- Data science and AI
🚨 Creator Rewards Payout Issue Resolved
The creator rewards payout issue is being resolved. Pons team has graciously started the process on chain earlier today (0x5ab08b82b84c5e801b59ba70a52f7904bde87488a7ad5a3948146dea25c149fe). Meanwhile, we are working on the documentation and planning the changes. We will keep you
Key Points:
Creator Rewards Payout Issue: The issue is being resolved by the Pons team.
Process on Chain: The process has started on chain.
Documentation and Planning: The team is working on documentation and planning changes.
🔗 Resources:
- Original post ↗
- Creator rewards payout issue
- Pons team
- Documentation and planning
🚨 Discussion on Universities and Research Environment
A rich and timely discussion! This really resonates with me: Chris: "Over the last couple of decades, universities have become enormously more bureaucratic and administrative, and that makes them a less good research environment than they used to be"
Key Points:
Universities and Research Environment: Chris discusses the impact of bureaucracy and administration on research environments.
Bureaucratic and Administrative: Universities have become more bureaucratic and administrative, affecting research environments.
Research Environment: The research environment has become less conducive to research.
🔗 Resources:
- Original post ↗
- Universities and research environment
- Bureaucratic and administrative
- Research environment
