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Knowledge3D Project Roadmap — Toward the First Working AGI MVP

This roadmap captures the current priorities for delivering the first production-ready AGI MVP built on the K3D paradigm. It supersedes earlier drafts and is aligned with the latest memory architecture described in:

Each phase builds on the previous one. Status labels reflect our current progress and guide agent focus.

Cognitive House

Figure: The Cognitive House illustrates the House (persistent memory), Cranium (active processing), and Logic Layer (models) that guide the roadmap. See the generation prompt in docs/images/cognitive_house_prompt.md.

Status note (2025-12-07): Parallel workstreams active:


Phase A — PTX Fused Head & Dual Memory Spine (Status: Partially Complete)

Objective: deliver a deterministic PTX-first fused head that learns from Galaxy (RAM) and House (disk) through nightly consolidation.

Deliverable Purpose Status
Embodied fused head Keep reasoning embodied in the House while PTX kernels manage galaxy introspection. ✅ Complete
PTX RPN + cosine kernels Keep all math/lookup reasoning inside PTX to avoid hallucination drift. ✅ Complete (context binding fix: Sept 2025)
Learning Memory GLB Log teacher tags and rebuild a PTX-ready galaxy each sleep cycle. ✅ Complete
SleepTime consolidation Materialise insights into House, relocate deprecated artifacts to Museum. ✅ Complete
House memory builder Emit PTX-ready index of consolidated artifacts for the tablet. ✅ Complete

Exit criteria: fused head successfully answers PTX benchmarks using both Galaxy and House without Python fallbacks; nightly sleep cycle keeps memories synced.

Phase B — Memory Tablet & Tool Bridge (Status: Active)

Objective: make the avatar’s tablet the primary interface to House, Galaxy, Museum, and external tools (MCP, VMs, browsers).

Deliverable Purpose Status
Tablet UX prototype Search House inventory, inspect artifacts, show provenance while respecting embodiment. 🔄 In Progress
On-demand Galaxy streaming Load House artifacts into Galaxy with LOD controls (centroid → full GLB). 🔄 In Progress
Tool manifest & MCP bridge Launch existing tool containers (Firefox, VMs, MCP) from the tablet; log transcripts. 🔄 In Progress
Session capture pipeline Store tablet sessions as structured notes → SleepTime consolidates into House, relocates older versions to Museum. ⏳ Planned
Prompt hygiene & verification loop Remove nonsense prompts, retire mastered ones after two perfect runs, and log timezone-aware timestamps. 🔄 In Progress

Exit criteria: the avatar can solve tasks using PTX reasoning plus tablet tools; consolidated knowledge is always reachable through the tablet before querying external sources.

Phase C — Procedural Galaxies & Multi-Modal Foundation (Status: Active)

Objective: materialize the full procedural galaxy ecosystem (Drawing, Audio, Accessibility) with unified signal architecture, then ingest foundational knowledge.

Phase C.1 — Drawing Galaxy (Status: Active)

Deliverable Purpose Status
8-layer Drawing Galaxy Quantum Fields → Primitives → Strokes → Shapes → Gradients → Filters → Lighting → Scenes 🔄 In Progress
VectorDotMap encoder Procedural image codec (~2KB/image, infinite LOD) ⏳ Planned
Gradient/Filter kernels GPU-native gradient rasterization and convolution filters ⏳ Planned
Math Core integration Route operations through 3-tier RPN engine (18 cores) ⏳ Planned

See: TEMP/CODEX_DRAWING_GALAXY_IMPLEMENTATION_12.07.2025.md, PROCEDURAL_VISUAL_SPECIFICATION.md

Phase C.2 — Unified Signal Architecture (Status: Planned)

Deliverable Purpose
Frequency-time bridge Treat audio, SDR, video as frequency components over time
Spectrogram as VectorDotMap Audio visualization using same procedural codec as images
Binaural spatial audio HRTF-based 3D sound positioning in Galaxy/House
Cross-modal discovery Find connections between sounds and images via shared representation

See: UNIFIED_SIGNAL_SPECIFICATION.md

Phase C.3 — Accessibility Galaxies (Status: Planned)

Deliverable Purpose
Braille Galaxy Procedural dot patterns (6/8-dot, Grade 1/2, multi-language)
Sign Language Galaxy Gesture sequences as RPN (ASL, Libras, BSL, JSL)
Spatial audio descriptions HRTF-positioned audio for visual content
Haptic integration Braille display and vibration pattern output

See: UNIVERSAL_ACCESSIBILITY_SPECIFICATION.md

Phase C.4 — Foundational Knowledge Ingestion (Status: Planned)

Deliverable Purpose
Layer 1: Form 176 math symbols + drawing primitives as procedural RPN
Layer 2: Meaning 15K words with semantic links (reference pattern, no duplication)
Layer 3: Rules 1K grammar rules as transformation RPN
Layer 4: Meta-Rules 500 meta-rules for pedagogy, eloquence, self-reflection
74 PDF ingestion 5,988 pages → procedural storage (666× compression via symlinks)

See: FOUNDATIONAL_KNOWLEDGE_SPECIFICATION.md

Exit criteria: All galaxies operational with GPU-only execution; foundational knowledge ingested and queryable via TRM.


Phase D — Self-Supervised Consolidation & Autonomy (Status: Planned)

Objective: let the model curate its own drills, retire solved prompts, and expand the dream/critique loop without human intervention.

Deliverable Purpose
Autonomous curriculum engine Use reflection diaries + museum analytics to propose new drills, retire stale ones, and respect lesson vs inference modes.
Honesty & confidence gating Tablet and fused head report provenance + confidence for every response.
Museum analytics Mine deprecated artifacts for error signatures and retro-train corrections.
Continuous tool adaptation Benchmark external tool usage; prioritise open-source replacements where feasible.

Exit criteria: daily cycles run end-to-end without manual intervention; the model promotes/demotes knowledge and tools based on performance.

Phase E — Collaborative Habitat & External Interfaces (Status: Planned)

Objective: extend the AGI MVP into a shared environment where multiple humans and agents collaborate.

Deliverable Purpose
Multi-user house/galaxy sync Keep tablet and memory state coherent across avatars.
Shared tool sessions Let multiple avatars co-drive browser/VM sessions while logging provenance.
API & door federation Expose the tablet + memory services over doors for third-party integrations.
High-fidelity rendering Adopt game-engine LOD and streaming techniques as memory scales.

Exit criteria: humans and AI cohabit the space, sharing memories, tools, and consolidations in real time.


This roadmap is a living document. Update it whenever milestones shift, and cross-link new specs or implementation guides when a deliverable begins.


This roadmap is a living document and will be updated as the project progresses. For a more detailed technical breakdown, please refer to the main research document.