TalvikMAK4I
Memory, Artifacts & Knowledge for Intelligence
An open protocol for reusable AI artifacts — built so knowledge can move across tools instead of being trapped inside one.
The Problem
AI knowledge doesn't travel
Every AI tool retains knowledge differently, and context rarely survives a switch between platforms. Teams end up regenerating the same artifacts — architecture summaries, workflows, decisions — again and again, because there's no shared way to carry that work forward.
The Solution
A common protocol for reusable artifacts
MAK4I standardizes how reusable AI knowledge is structured, stored, and retrieved. Rather than tying knowledge to a single assistant or platform, it defines a portable format that any compatible tool can read from and write to.
Reuse Discipline
Check Before Create
- 1
Need something
- 2
Search existing artifacts
- 3
Reuse
- 4
Adapt
- 5
Only create when nothing suitable exists
Artifact Categories
Three kinds of reusable knowledge
MAK4I organizes artifacts into three broad categories.
Procedural
- Deployment workflows
- Engineering standards
- Issue triage
- Automation
Semantic
- Architecture
- Schemas
- API contracts
- Domain knowledge
Episodic
- History
- Decisions
- Incident reviews
- Retrospectives
Competitive Positioning
A protocol, not a memory feature
Most AI memory features are built into a single product and stay there. MAK4I takes a different approach: it's an open, tool-agnostic protocol focused on portability and reuse across an ecosystem of AI tools, rather than deeper retention within any one of them.
Roadmap
What's next
- 1
Phase 0 — Foundation
- 2
Phase 1 — Protocol Specification
- 3
Phase 2 — Reference Implementation
- 4
Phase 3 — Reusable Artifacts
- 5
Phase 4 — Hosted Registry
- 6
Phase 5 — MCP Integration