mythify

aihxp/mythify
★ 0 stars JavaScript AI/LLM Updated 1d ago
Give any model Mythos-class operational discipline: planning loops, executed verification, and persistent memory via a drop-in protocol, a zero-dependency CLI, and an MCP server.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mythify": {
      "command": "npx",
      "args": [
        "-y",
        "aihxp/mythify"
      ]
    }
  }
}

README Excerpt

Give any model Mythos-class operational discipline. Mythify improves the harness, not the underlying model. A weaker model with disciplined planning, executed verification, and persistent memory completes more long-horizon work than the same model without them. The patterns are distilled from the research in [docs/research-report.md](docs/research-report.md), which carries its

Tools (20)

MYTHIFY_DISABLE_FANOUTMYTHIFY_FANOUT_CLAUDE_ARGSMYTHIFY_FANOUT_CLAUDE_BINMYTHIFY_FANOUT_CODEX_ARGSMYTHIFY_FANOUT_CODEX_BINMYTHIFY_FANOUT_CODEX_SANDBOXMYTHIFY_FANOUT_COMMANDMYTHIFY_FANOUT_CONCURRENCYMYTHIFY_FANOUT_CONTEXT_BYTESMYTHIFY_FANOUT_CURSOR_AGENT_BINMYTHIFY_FANOUT_CURSOR_ARGSMYTHIFY_FANOUT_CURSOR_BINMYTHIFY_FANOUT_CURSOR_FORCEMYTHIFY_FANOUT_CURSOR_MODEMYTHIFY_FANOUT_CURSOR_MODELSMYTHIFY_FANOUT_EFFORTMYTHIFY_FANOUT_ENGINEMYTHIFY_FANOUT_MAX_TASKSMYTHIFY_FANOUT_MAX_TOKENSMYTHIFY_FANOUT_MAX_TURNS

Topics

agent-harnessai-agentsautonomous-agentsclaudeclaude-codeclaude-desktopdeveloper-toolsllmmcpmcp-serverprompt-engineering