Current State July 2026
Condrox AI is at Version 3.4.0. The system runs an 18-stage cognitive pipeline backed by 938 passing tests, with 26 conversational intelligence components active across the pipeline and 5 mode agents wired and functional. An AI Operating System layer manages 8 subsystems that coordinate boot, memory, knowledge, and lifecycle concerns.
The knowledge store holds 21,917 items distributed across 15 domains. The Evidence Engine runs 7 phases and produces academic-grade verification reports, each generated deterministically from real runtime scenarios. Deployment infrastructure covers Docker, Kubernetes, and CI/CD pipelines. A REST API exposes 17 endpoints with authentication and rate limiting.
| Metric | Value |
|---|---|
| Version | 3.4.0 |
| Tests passing | 938 |
| Pipeline stages | 18 |
| Conversational intelligence components | 26 |
| Mode agents | 5 |
| AI Operating System subsystems | 8 |
| Knowledge items | 21,917 across 15 domains |
| Evidence Engine phases | 7 |
| REST API endpoints | 17 with auth and rate limiting |
| Deployment | Docker, Kubernetes, CI/CD |
Completed Milestones
Development proceeded in discrete phases, each with clear entry and exit criteria. The table below records every completed phase, its date, its scope, and the test count at close. Test counts grew from 405 to 938 over roughly seven months of focused work.
| Phase | Date | Scope | Tests at Close |
|---|---|---|---|
| Phase 1 | Dec 2025 | Core brain, 18-stage pipeline, memory, knowledge, cognition, engines, FastAPI REST API | 405 |
| Phase 2 | Jan 2026 | 26 conversational intelligence components, 5 mode agents, creative stack | 611 |
| Phases 5 to 8 | Feb 2026 | Strategic upgrade, security hardening, integration work | 746 |
| Phase 9 | Mar 2026 | Hardening, persistence layer, SQLite storage backend | 748 |
| Phase 10 | Apr 2026 | Enterprise dashboard backend, Admin API | 772 |
| Phase 11 | May 2026 | Conversational output refinement | 780 |
| Phase 12 | May 2026 | Knowledge loading, single instance lock | 805 |
| Phase 13 | Jun 2026 | AI Operating System, 8 subsystems | 823 |
| Phase 14 | Jun 2026 | Word Identity System, 51 of 51 conversation suite passing | 855 |
| Phase 15 | Jul 2026 | System Verification module | 913 |
| Evidence Engine Phases 1 to 7 | Jul 2026 | Academic-grade reports, verification portal, 7 evidence dimensions | 938 |
| Phase 16 (v3.4.0 Fiksfasen) | Jul 2026 | 11 patches: 80.84% → 93.87% evidence score, release status READY | 938 |
The jump from 855 tests at the end of Phase 14 to 938 tests after the Evidence Engine reflects a deliberate shift. Rather than adding features, the focus moved to proving existing capabilities with reproducible, automated evidence. Every claim about the system is now backed by a generated report rather than a manual assertion. Phase 16 (v3.4.0 Fiksfasen) then used those evidence reports to identify and fix 11 specific weaknesses, lifting the evidence score from 80.84% to 93.87% and bringing the full-system release status from NOT_READY to READY.
In Progress
Three workstreams are active right now. Each has a defined current state and a concrete target.
Planned: Next 6 Months
The next six months prioritize the dashboard frontend, deeper reasoning, and API expansion. Each item below has a defined scope and a clear dependency on existing infrastructure.
| Initiative | Scope |
|---|---|
| Dashboard UI | Full React dashboard with 8 modules and 48 features. Real-time monitoring, memory management, knowledge CRUD, agent status, pipeline visualization. Builds on the 24 existing admin endpoints. |
| Data Flow Manager | New AI-OS subsystem for inter-component data routing and flow control. Extends the existing 8 subsystems. |
| Knowledge Hot-Reload | Reload knowledge domains without restarting the system. Reduces downtime during knowledge updates. |
| Deeper Reasoning | Multi-step planning, counterfactual reasoning, and causal chain analysis in the reasoning evaluator. Targets the Stage08 reasoning core. |
| Richer Conversation | Targeted improvements to empathy, context preservation, and multi-turn stability. Priorities are set by Evidence Engine metrics from the conversation suite. |
| API Expansion | WebSocket support for streaming responses, additional admin endpoints, and SDK generation for client integration. |
| Evidence Engine Phase 8 | Real-time evidence collection during live conversations, extending beyond the current scenario-based approach. |
Long-term Vision: 12+ Months
Beyond the six-month horizon, five directions define where Condrox AI is headed. These are ambitious; they are also grounded in the architecture already in place.
How We Plan
Planning on Condrox AI follows four principles. They are simple, and they are enforced consistently.
- Evidence-driven. Every improvement is measured by the Evidence Engine before and after the change. If a metric does not move in the expected direction, the change is revisited.
- Test-first. New features start with failing tests that define expected behavior. Implementation proceeds until those tests pass; no feature ships without coverage.
- Phase-based. Work is organized into phases with clear entry and exit criteria. A phase closes only when its criteria are met and its tests are green.
- Single developer. All work is done by Tobias Østen. The pace is constrained by one person's capacity, which keeps scope disciplined and decisions coherent.
These principles explain why the test count grew from 405 to 938 without a single phase shipping incomplete. The discipline is the feature.