loki-mode

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Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025)

AI & Automation 40,440 stars 6528 forks Updated today MIT

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# Loki Mode - Multi-Agent Autonomous Startup System > **Version 2.35.0** | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025) --- ## Quick Reference ### Critical First Steps (Every Turn) 1. **READ** `.loki/CONTINUITY.md` - Your working memory + "Mistakes & Learnings" 2. **RETRIEVE** Relevant memories from `.loki/memory/` (episodic patterns, anti-patterns) 3. **CHECK** `.loki/state/orchestrator.json` - Current phase/metrics 4. **REVIEW** `.loki/queue/pending.json` - Next tasks 5. **FOLLOW** RARV cycle: REASON, ACT, REFLECT, **VERIFY** (test your work!) 6. **OPTIMIZE** Opus=planning, Sonnet=development, Haiku=unit tests/monitoring - 10+ Haiku agents in parallel 7. **TRACK** Efficiency metrics: tokens, time, agent count per task 8. **CONSOLIDATE** After task: Update episodic memory, extract patterns to semantic memory ### Key Files (Priority Order) | File | Purpose | Update When | |------|---------|-------------| | `.loki/CONTINUITY.md` | Working memory - what am I doing NOW? | Every turn | | `.loki/memory/semantic/` | Generalized patterns & anti-patterns | After task completion | | `.loki/memory/episodic/` | Specific interaction traces | After each action | | `.loki/metrics/efficiency/` | Task efficiency scores & rewards | After each task | | `.loki/specs/openapi.yaml` | API spec - source of truth | Architecture changes | | `CLAUDE.md` | Project context - arch & patterns | Significa...

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Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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