hermes-agent-v2NousResearch Hermes Agent CLI integration. Core capabilities: - Self-improving skill system - Persistent memory (FTS5 + LLM summaries) - Sub-agent delegation...
Install via ClawdBot CLI:
clawdbot install wihy/hermes-agent-v2Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/NousResearch/hermes-agentAudited Apr 17, 2026 · audit v1.0
Generated May 1, 2026
Use Hermes to run complex queries with context files, gather information via sub-agent delegation, and store results in persistent memory. Ideal for analysts needing structured research outputs.
Leverage Hermes memory (FTS5 search and notes) to curate and retrieve personal knowledge. Users can add notes, search keywords, and maintain a growing knowledge base.
Hermes can execute code and analyze errors. Developers can delegate debugging tasks, get code explanations, and store solutions in memory for future reference.
Integrate Hermes into support workflows to answer common queries, search documentation, and escalate complex issues via sub-agent delegation, reducing response time.
Using context files and memory, Hermes can analyze legal documents, summarize clauses, and store case notes. Sub-agents can research precedents.
Embed Hermes as an AI assistant within existing SaaS platforms to provide Q&A, memory, and task automation. Charge per API call or subscription.
Build tailored Hermes skill packs for clients, integrating their data and workflows. Offer setup, training, and maintenance services.
Deploy Hermes internally for employee onboarding, knowledge base, and task automation. Save costs by reducing manual research and support overhead.
💬 Integration Tip
Ensure the hermes CLI is installed and configured with your LLM provider key in ~/.hermes/.env, then integrate via simple shell commands.
Scored May 1, 2026
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