A portable life ontology that represents who you are, where you've been, and where you're going — in a form that's private, encrypted, owned by you, and usable across any AI provider.
PCF is the personal instantiation of the Context Fabric Standard. Where CFS defines the primitives and protocols, PCF defines how those primitives represent a human life.
It's not memory. Memory is just recall of past interactions. It's not preferences. Preferences are just config flags. It's not a profile. Profiles are static snapshots.
PCF is a personal ontology + state machine + temporal graph that represents:
And critically: how all of that evolves over time.
The constraint on AI usefulness right now isn't model capability — it's context poverty.
Models are smart enough to help with almost anything. But they don't know:
So every interaction is either you spending 80% of the time giving context, or the AI giving generic advice that ignores your actual situation.
A portable, rich, structured life context solves this. It's the difference between talking to a stranger vs talking to someone who deeply knows you.
01 This is your life data. It can't live primarily on someone else's server. Your context lives on your device, encrypted with your keys.
02 Instead of AI building a model of you from your conversations, you author your own representation. You decide what matters.
03 Everything has timestamps, validity windows, confidence levels. Your goals from 3 years ago aren't as relevant as yesterday's.
04 Relationships between entities matter as much as entities themselves. "Project X relates to goal Y which conflicts with constraint Z."
05 It's not just "keep private." It's "reveal different facets to different agents for different purposes." Identity faceting, not binary access.
06 Connect to Claude today, GPT tomorrow, a local model next week. Your context travels with you because you control it.
PCF is a profile of the Context Fabric Standard, not a separate standard. It uses CFS primitives with a specific schema for personal context:
| CFS Primitive | PCF Application |
|---|---|
Records | Goals, projects, people, events, skills, resources, states |
Links | supports, conflicts_with, depends_on, part_of, caused_by |
Views | Context packages for specific AI tools — scoped projections |
Tools | MCP servers that expose context to AI providers |
Receipts | Audit trail of all access — who queried what and when |
Policies | Access rules, retention settings, sharing constraints |
Sync | Device-to-device replication, encrypted backup |
Gates | Validation before updates — schema conformance, bounds |
This layering means PCF implementations automatically inherit CFS guarantees: bitemporality, verifiable provenance, portable export.
The question isn't "is this a useful tool?"
The question is: who owns the data layer of human-AI collaboration?
PCF is Option B made concrete. It's not just infrastructure — it's a statement about who should control the most intimate layer of human-AI interaction.