Sno Station
Sno Station은 AI 에이전트를 하나의 팀으로 묶는 오픈소스 워크스테이션으로, 로컬 머신에서 에이전트 협업을 가능하게 함
The methodology layer for Claude Code — 99 first-party working methods across 10 behavioral plugins. Better methods, not just more data.
README 전체를 불러오는 중입니다.
README 전문 보기 ↗The methodology layer for Claude Code. It encodes 99 first-party working methods across 10 behavioral plugins as active cognitive scaffolds: instead of giving Claude more data, it gives Claude structured methods for software development decisions.
We have not yet measured whether these scaffolds improve Claude's decisions, so this README makes no claim that they do.
Add to your project's .claude/settings.json:
{
"mcpServers": {
"dojo": {
"command": "/path/to/dojo-mcp-server",
"env": {
"DOJO_SKILLS_PATH": "/path/to/CoworkPluginsByDojoGenesis",
"DOJO_ADR_PATH": "./decisions"
}
}
}
}
Or using Docker:
{
"mcpServers": {
"dojo": {
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/dojogenesis/mcp-server:latest"]
}
}
}
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"dojo": {
"command": "/path/to/dojo-mcp-server",
"env": {
"DOJO_SKILLS_PATH": "/path/to/CoworkPluginsByDojoGenesis",
"DOJO_ADR_PATH": "./decisions"
}
}
}
}
| Group | Tools |
|---|---|
| Methodology | dojo_scout, dojo_invoke_skill, dojo_search_skills, dojo_list_skills, dojo_apply_seed, dojo_reflect |
| Decisions | dojo_log_decision (writes ADR markdown to DOJO_ADR_PATH) |
| Gateway memory | dojo_memory_list, dojo_memory_store, dojo_memory_search (gateway session memory) |
| Memory Hub | dojo_search_memory, dojo_get_memory, dojo_recent_memories — read-only Postgres mirror of the institutional memory (DOJO_MEMORY_DB_URL) |
| Unified fetch | dojo_fetch — one tool to search AND fetch across memory hub + skills + ADRs + seeds (typed ids: memory:slug, skill:name, adr:file.md, seed:name) |
| Seeds | dojo_seed_list, dojo_seed_create, dojo_seed_search |
| Agents² | dojo_agent_list, dojo_agent_dispatch², dojo_agent_chat² |
| Dispatch² | dojo_dispatch² — prompt → LLM through the gateway |
| Project | dojo_project_status, dojo_project_track, dojo_project_decision |
| Disposition | dojo_disposition_list, dojo_disposition_set |
| Craft | dojo_converge, dojo_health |
² Dispatch-class — spends LLM provider budget through the gateway. In HTTP
mode these require a dispatch-enabled API key and are rate limited per key;
dojo_scout's LLM path degrades to its offline scaffold for non-dispatch keys.
Skills are complete, battle-tested methodology workflows loaded from SKILL.md files at startup. When DOJO_SKILLS_PATH is set, all 99 first-party CoworkPlugins skills are available. Without it, 43 key skills across 8 plugins are embedded in the binary via go:embed.
Bundled plugins and skills:
| Plugin | Skills |
|---|---|
agent-orchestration | agent-teaching, decision-propagation, handoff-protocol, workflow-router, workspace-navigation |
continuous-learning | debugging, project-exploration, research-modes, research-synthesis, retrospective, web-research-external |
skill-forge | mcp-cloudflare-builder, mcp-server-builder, process-extraction, skill-audit, skill-creation, skill-maintenance |
specification-driven-development | context-ingestion, frontend-from-backend, implementation-prompt, parallel-tracks, pre-implementation-checklist, release-specification |
strategic-thinking | iterative-scouting, multi-surface-strategy, product-positioning, strategic-scout |
system-health | documentation-audit, health-audit, semantic-clusters, status-writing |
wisdom-garden | compression-ritual, memory-garden, seed-extraction, seed-library |
Seeds are reusable thinking patterns drawn from across the Dojo ecosystem.
Dojo Genesis (Core)
| Seed | Description |
|---|---|
three_tiered_governance | Three-tiered governance framework: Strategic, Tactical, Operational. |
harness_trace | Nested JSON trace log for complete agent session traceability. |
context_iceberg | 4-tier context management system (hot/warm/cold/pruned). |
agent_connect | Routing-first agent architecture with a single supervisor. |
go_live_bundles | Lightweight deployment packages pairing artifacts with approval evidence. |
cost_guard | Budget for the full 5-10x context iceberg multiplier. |
safety_switch | Users must remain in control -- no autopilot on sensitive operations. |
implicit_perspective_extraction | Extract implicit perspectives from user queries without enumeration. |
mode_based_complexity_gating | Route to local or cloud models based on mode complexity. |
shared_infrastructure | Build once, reuse everywhere -- central implementations. |
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗