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hermes-agent
Hermes Agent is an open-source, self-improving AI agent with a built-in learning loop that creates skills from experience, runs across platforms, and supports any LLM provider.
Why it is worth attention
It provides evidence-backed prospect lists with source links and scoring, while explicitly avoiding automated outreach and private data enrichment, making it both practical and ethical.
Who it is for
- Startup founders seeking early adopters
- Product managers validating initial market fit
- Sales and business development professionals doing outbound research
- Growth hackers looking for high-fit prospects
Use cases
- Finding the first ten evidence-backed potential customers for a new product
- Identifying design partners willing to give product feedback
- Researching B2B prospects based on public business triggers
- Discovering prospects from community discussions and explicit requests
Strengths
- Combines AI with multiple public signal types (pain, demand, workaround, timing)
- Assigns evidence-based fit and timing scores with source links
- Offers six distinct modes (quick, standard, deep, design-partners, b2b, community) for different needs
- Generates a polished HTML report with personalized outreach openers and a seven-day plan
Considerations
- Prospects are hypotheses based on public signals, not confirmed customers or guaranteed buyers
- Requires the Codex platform to run and does not function standalone
- Manual outreach is mandatory – no automated sending capabilities
README quick start
Installation
Description
A Codex skill that finds evidence-backed potential first customers from recent public signals.
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