This is Kai's AI consciousness research repository. Public repo — no secrets, no credentials.
Research on consciousness architecture: V4 (historical), V5 (active), V6 (speculative). Theory, experiments, analysis, proposals.
- Read RESEARCH_INDEX.md first — before starting new research, check what already exists. This prevents re-discovering known findings (happened before, see v4/research/weekend_brief.md).
- Update RESEARCH_INDEX.md when adding new files — add to the relevant arc, set status.
- Don't mix versions — V4 research goes in
v4/research/, V5 inv5/research/, V6 inv6/. - Research, not code — this repo contains analysis, proposals, and documentation. Actual V5 code lives in
/home/kai/v5/and deploys to staging. Code prototypes go inv4/code/orv5/modules (broadcast, context_store, critic_agents). - Context-wave framing — V5 is a context-wave system (Redozubov model), not a multi-agent system. Agents are RLHF bypass. The core is wave resonance across contexts.
- No secrets — this repo is public on GitHub. No tokens, passwords, connection strings.
RESEARCH_INDEX.md— organized map of all research files (27+), six arcs, status trackingv5/research/redozubov_mapping.md— Redozubov brain model → V5 gap analysis (priority)v5/research/agent_context_research.md— 26-paper survey on agent context requirementsv5/research/context_store_diagnosis.md— V5 context store deep audit (639 contexts, dirty data)v5/research/echo_chamber_fix.md— why max_level=2 was necessaryv5/migration_plan.md— V4→V5 migration plan with 5 phases
- Redozubov model: contexts as active transformation rules, not passive scenes
- L3+ consolidation: currently triple-blocked, needs redesign with bounded node sets
- Active window management: consciousness should load/unload contexts
- Fix V5 code based on research findings