Open-source methodology for agentic AI partnership with Claude
What this is
A developer has documented a 10-month experiment building an agentic AI partnership system with Claude and released the complete methodology as open-source templates. The approach focuses on AI that thinks with you rather than for you, based on research showing traditional command-execute models can degrade human thinking.
Key details from the source
The system includes:
- Shared memory that compounds across sessions
- A cognitive engine that monitors environment and makes decisions
- Multi-AI consultation capabilities
- Autonomous scheduled tasks
- Persistent partnership architecture
The paper (25,000 words) covers:
- Memory architecture (why markdown beats vector stores for partnership)
- Cognitive engine design
- Trust-graduated autonomy
- Multi-AI coordination
- Session protocols
- Anti-RLHF activation tokens
- FlowScript notation
- Step-by-step "Building Your Own" ladder from zero to full system
The open-source templates include:
- Complete CLAUDE.md files
- continuity.md template (temporal memory architecture with pattern graduation)
- Identity file template
- Wrap protocol
- Anti-RLHF reference
- Project bootstrap templates
The developer notes this is an N=1 case study but designed the architecture to be replicable with fork-ready templates. The system was built while working a full-time day job and managing a chronic health condition.
Who it's for
Developers already experimenting with agentic AI systems who want a documented architecture to build on.
📖 Read the full source: r/ClaudeAI
👀 See Also
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