Hope Kim (rlaope)
Hope Kim is an individual software engineer and art-and-engineering creator, not a company. Her stated focus is turning difficult, seemingly impossible engineering problems into clear systems and combining deep engineering thinking with artistic thinking; she publishes software, research notes, and creative work under rlaope.
At a Glance
- Individual software developers
- AI-agent power users and maintainers
- Engineering teams needing governed coding-agent workflows
- Researchers and learners studying AI, ML, prompts, and software systems
- +1 more
AI Tools by Hope Kim (rlaope)
(1)
Oh My Hermes
Open Source Hermes Agent Plugin
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Latest News
Oh My Hermes v2.0.3 released with failed-dispatch outcome reporting, progress-stall states, workspace preflight checks, cause-matched recovery, plan-continuation rules, setup/model-routing changes, and Windows fixes.
Oh My Hermes v2.0.2 released with 26 pull requests of workflow, memory, routing, and integration improvements.
Oh My Hermes v2.0.1 stable release.
Oh My Hermes v2.0.0 stable release.
Products & Services
An open-source operating/workflow layer for Nous Research's Hermes Agent. It adds planning, research, creation, coding handoffs, operations, project memory, model routing, ultra-work workflows, capability families, and explicit evidence boundaries without replacing or patching Hermes. It is distributed through shell and PowerShell installers, Homebrew, Bun, npm, and Hermes skill tap.
A large public study and knowledge repository containing software-engineering notes, theory, deep dives, research, personal reflections, and practical material across backend, systems, AI, and related topics.
Prompting skills intended to make Claude, GPT, Gemini, Grok, and open-weight models work with Fable 5.1-style solution tracing. The repository describes strategy-oriented skills such as hypothesis management, self-correction, spec-to-code fidelity, and incremental safety.
A TensorFlow/Keras educational re-implementation and study log for Nested Learning: The Illusion of Deep Learning Architectures. It implements a self-modifying layer and Continuum Memory System at the repository's documented scope, with notebooks, paper-linked equations, benchmarks, and tests.
Market Position
Kim's main public software, Oh My Hermes, is positioned as an operating layer above Hermes Agent rather than as a replacement agent or a vendor-locked coding assistant. Its differentiation is executor neutrality (Hermes, Claude Code, Codex, and pi), explicit evidence boundaries, local reviewed memory, model-family routing, and workflow governance; it competes conceptually with raw Hermes skills, ad-hoc prompt packs, and model-specific agent wrappers while preserving Hermes as the natural-language surface.
Leadership
Founders
Hope Kim
Software engineer and builder behind the rlaope identity. Her site says she discovered computers in 2014 after dreaming of becoming a scientist, and at 17 led a government-funded project under tight deadlines and resource constraints, securing $33,000 in investment and building a project room at Software Meister High School. Her public work includes Java/Kotlin/Spring, Go, JVM performance, AI/ML, and open-source tooling.
Founding Story
The personal portfolio describes an origin in curiosity about computers and a drive to break through missions that seem impossible. Kim frames her work as the fusion of art and engineering: making rigorous systems that are also aesthetically considered. At 17, the government-funded project became an early proof point for this approach, with her team securing $33,000 and building a dedicated project room.
Business Model
Revenue Model
Public materials present the work as open-source software and freely installable developer tooling; no subscription, API-usage, license-sales, or other commercial revenue model is stated.
Target Markets
- Individual software developers
- AI-agent power users and maintainers
- Engineering teams needing governed coding-agent workflows
- Researchers and learners studying AI, ML, prompts, and software systems
- Creative technologists interested in art-and-engineering work
- Professional software-engineering workflows with planning and verification gates
- Long-horizon coding tasks requiring decomposition, isolation, delegation, and review
- Source-backed web research and technical investigation
- Project memory and knowledge curation across agent sessions
- Model selection and routing across multiple providers and model families
- Design, frontend, visual QA, and artifact-oriented work