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docs: add future-betting manifesto to all READMEs and overview

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Add 'The Bet' section to all 4 language READMEs (en, ko, ja, zh-cn):
- Models getting cheaper every month
- Models getting smarter every month
- No single provider will dominate the future
- We leverage ALL models, not just Claude
- Architecture gets more valuable as models specialize
- We're building for the open multi-model future

Also update overview.md to move 'Better Than Pure Codex' into
Hephaestus section and add 'Better Than Pure Claude Code' section
with fundamental multi-model advantage explanation.
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YeonGyu-Kim
2026-02-21 04:17:33 +09:00
parent 96a9c989aa
commit 99b01b09e5
5 changed files with 94 additions and 8 deletions
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docs/guide/overview.md
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@@ -42,19 +42,29 @@ Hephaestus runs on GPT-5.3 Codex. Give him a goal, not a recipe. He explores the
Use Hephaestus when you need deep architectural reasoning, complex debugging across many files, or cross-domain knowledge synthesis. Switch to him explicitly when the work demands GPT-5.3 Codex's particular strengths.
**Why this beats vanilla Codex CLI:**
**Multi-model orchestration.** Pure Codex is single-model. OmO routes different tasks to different models automatically. GPT for deep reasoning. Gemini for frontend. Haiku for speed. The right brain for the right job.
**Background agents.** Fire 5+ agents in parallel. Something Codex simply cannot do. While one agent writes code, another researches patterns, another checks documentation. Like a real dev team.
**Category system.** Tasks are routed by intent, not model name. `visual-engineering` gets Gemini. `ultrabrain` gets GPT-5.3 Codex. `quick` gets Haiku. No manual juggling.
**Accumulated wisdom.** Subagents learn from previous results. Conventions discovered in task 1 are passed to task 5. Mistakes made early aren't repeated. The system gets smarter as it works.
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## Better Than Pure Codex
## Better Than Pure Claude Code
Sisyphus + Hephaestus outperform vanilla Codex CLI. Here's why:
Claude Code is good. But it's a single agent running a single model doing everything alone.
**Multi-model orchestration.** Pure Codex is single-model. Oh My OpenCode routes different tasks to different models automatically. GPT for deep reasoning. Gemini for frontend. Haiku for speed tasks. The right brain for the right job.
Oh My OpenCode turns that into a coordinated team:
**Background agents.** Fire 5+ agents in parallel. Something Codex simply cannot do. While one agent writes code, another researches patterns, another checks documentation. Like a real dev team.
**Parallel execution.** Claude Code processes one thing at a time. OmO fires background agents in parallel — research, implementation, and verification happening simultaneously. Like having 5 engineers instead of 1.
**Hash-anchored edits.** Claude Code's edit tool fails when the model can't reproduce lines exactly. OmO's `LINE#ID` content hashing validates every edit before applying. Grok Code Fast 1 went from 6.7% to 68.3% success rate just from this change.
**Intent Gate.** Claude Code takes your prompt and runs. OmO classifies your true intent first — research, implementation, investigation, fix — then routes accordingly. Fewer misinterpretations, better results.
**LSP + AST tools.** Workspace-level rename, go-to-definition, find-references, pre-build diagnostics, AST-aware code rewrites. IDE precision that vanilla Claude Code doesn't have.
**Skills with embedded MCPs.** Each skill brings its own MCP servers, scoped to the task. Context window stays clean instead of bloating with every tool.
**Discipline enforcement.** Todo enforcer yanks idle agents back to work. Comment checker strips AI slop. Ralph Loop keeps going until 100% done. The system doesn't let the agent slack off.
**Category system.** Tasks are routed by intent, not model name. `category="visual-engineering"` gets Gemini. `category="ultrabrain"` gets GPT-5.3 Codex. `category="quick"` gets Haiku. No manual juggling.
**Accumulated wisdom.** Subagents learn from previous results. Conventions discovered in task 1 are passed to task 5. Mistakes made early aren't repeated. The system gets smarter as it works.
**The fundamental advantage.** Models have different temperaments. Claude thinks deeply. GPT reasons architecturally. Gemini visualizes. Haiku moves fast. Single-model tools force you to pick one personality for all tasks. Oh My OpenCode leverages them all, routing by task type. This isn't a temporary hack — it's the only architecture that makes sense as models specialize further. The gap between multi-model orchestration and single-model limitation widens every month. We're betting on that future.
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@@ -64,7 +74,7 @@ Before acting on any request, Sisyphus classifies your true intent.
Are you asking for research? Implementation? Investigation? A fix? The Intent Gate figures out what you actually want, not just the literal words you typed. This means the agent understands context, nuance, and the real goal behind your request.
Regular Codex doesn't have this. It takes your prompt and runs. Oh My OpenCode thinks first, then acts.
Claude Code doesn't have this. It takes your prompt and runs. Oh My OpenCode thinks first, then acts.
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