Hermes Agent might have just killed OpenClaw
Overview of Hermes Agent vs. OpenClaw
Introduction to Hermes Agent
- The speaker asserts that Hermes Agent is currently a superior AI agent compared to OpenClaw, highlighting its reliability and enhanced functionality.
- A walkthrough of the new Hermes dashboard will be provided, showcasing features that improve multitasking capabilities.
Issues with OpenClaw
- OpenClaw has faced significant issues leading users to switch to Hermes, including frequent updates that often break the application.
- Users report performance degradation due to bloat from excessive features in OpenClaw, making it less efficient over time.
Performance Comparison
Reliability of Updates
- The Hermes team focuses on fewer but more reliable updates, each with a clear narrative rather than overwhelming users with numerous changes.
- Each update from Hermes is themed and specific, allowing users to understand what improvements or changes are being made.
Features of the Hermes Dashboard
Cananban Board for Multitasking
- The Cananban board allows users to manage multiple tasks simultaneously instead of relying on a single-threaded approach.
- This feature supports various workflows essential for users juggling multiple projects throughout their day.
Task Management Workflow
Setting Up Tasks
- Users can create tasks in the triage column which are then fleshed out by the agent based on previous memories and context.
- Once detailed tasks are ready, they can be assigned to agents for execution without manual input required from the user.
Automation Setup
Cron Job Configuration
- To automate task management effectively, users should set up a cron job that checks the Cananban board at regular intervals (e.g., every 10 minutes).
Slash Goal Feature
High-Level Missions for Agents
- The slash goal functionality allows agents to undertake complex missions over extended periods rather than executing simple prompts.
Multi-Agent Profiles
Creating Multiple Agents
- Users can easily create multiple agents tailored for different tasks (coding, research), preventing memory bloating and maintaining performance efficiency.
Model Catalog and Cost Tracking
Simplified Model Management
- The model catalog feature simplifies switching between models and tracking costs associated with different tasks within the system.
Memory Compression Improvements
Enhancing Memory Management
- Adjusting compression thresholds helps maintain memory integrity while reducing data loss during compressions.
Curator Feature
Automatic Skill Pruning
The curator feature automatically reviews skills used by agents every seven days, pruning those not utilized frequently to reduce bloat.