NousResearch/hermes-agent
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
API DesignBackend DevelopmentProtocol Implementation
NexVeridian
PROFILE
Nexveridian
During April 2026, NexVeridian developed ACP-based slash command discovery and optimized the /compact endpoint for the NousResearch/hermes-agent repository. Leveraging Python and focusing on API design and protocol implementation, NexVeridian enabled downstream clients to dynamically discover slash commands such as /help, /model, and /compact via the ACP protocol. The work included refactoring the /compact endpoint to improve token estimation accuracy and enforce session database isolation, addressing multi-tenant data separation concerns. These enhancements reduced integration friction for clients, improved onboarding, and provided more predictable token budgeting, reflecting a thoughtful approach to backend development and protocol-driven client experience improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
544
Activity Months1
Your Network
2761 peopleSame Organization
@users.noreply.github.com2371
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026In April 2026, Hermes agent delivered ACP-based slash command discovery and /compact optimization, enabling client discovery of slash commands via ACP and improving token estimation and session isolation. The changes focus on advertising /help, /model, and /compact to downstream clients (e.g., Zed) and refactoring /compact to improve accuracy in token budgeting while ensuring proper session database isolation across tenants. These improvements reduce integration friction for clients and strengthen data separation in multi-tenant scenarios, enabling smoother onboarding and more predictable costs for downstream usage.
2 Commits • 1 Features
Apr 1, 2026In April 2026, Hermes agent delivered ACP-based slash command discovery and /compact optimization, enabling client discovery of slash commands via ACP and improving token estimation and session isolation. The changes focus on advertising /help, /model, and /compact to downstream clients (e.g., Zed) and refactoring /compact to improve accuracy in token budgeting while ensuring proper session database isolation across tenants. These improvements reduce integration friction for clients and strengthen data separation in multi-tenant scenarios, enabling smoother onboarding and more predictable costs for downstream usage.
April 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DesignBackend DevelopmentProtocol Implementation
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