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Knowledge Vaults

Four-Tier Knowledge
Architecture

Institutional knowledge that compounds. Every observation becomes a rule, every rule becomes knowledge, every knowledge file shapes agent behavior. Persistent across sessions and tool switches.

Architecture

Layered Knowledge, Unified Access

Each tier builds on the one below. The materialization pipeline merges all layers at runtime, with higher tiers overriding lower.

🏗️ L1

Platform Knowledge

Core platform knowledge shared across all users. The foundation layer contains agent definitions, skill specifications, system rules, and 250+ knowledge files that define system behavior and domain best practices.

Agent definitions Skill specifications System rules 250+ knowledge files Best practice patterns Architecture guides
🏢 L2

Company Knowledge

Organization-specific knowledge that differentiates your operations. Brand guidelines, pricing frameworks, competitive intelligence, SOPs, and team structure — all version-controlled and mergeable.

Brand guidelines Pricing & positioning Competitor analysis SOPs & playbooks Team structure Industry context
👤 L3

Personal Knowledge

Individual context that follows you across projects. Voice, writing style, decision patterns, and personal preferences. Layers on top of company knowledge so every agent speaks like you.

Voice & writing style Decision patterns Personal preferences Individual workflows Communication style Self-reflection notes
📁 L4

Project Knowledge

Working context for the current engagement. Active project state, task memory, working drafts, and session history. The most specific layer — overrides everything below for the project at hand.

Project context Active task memory Working drafts Session history Project decisions Engagement-specific data
L4 > L2 > L1 Higher tier overrides lower at merge time

How It Works

Materialization Pipeline

At task time, the vault engine merges relevant knowledge from all layers into a unified context window for the active agent.

👁️
01

Observe

Agent notices a pattern, preference, correction, or new insight during daily work.

📝
02

Record

Observation is written to the appropriate vault layer as structured, searchable knowledge.

⬆️
03

Promote

Recurring patterns are promoted: observations become rules, rules become knowledge files.

🔮
04

Materialize

At runtime, all layers merge. Higher tiers override lower. Agent behavior shaped automatically.

Features

Built for Enterprise Knowledge

Every feature designed for teams that need knowledge they can trust, audit, and scale.

📋

Version-Controlled

Every knowledge file is tracked with full history. Roll back, compare versions, audit who changed what and when. Git-native workflow for knowledge.

🔀

Merge Strategies

Higher tiers override lower: L4 > L3 > L2 > L1. Project context overrides personal, which overrides company defaults, which override platform knowledge. No conflicts, just clarity.

🔍

Full-Text Searchable

Agents automatically find the most relevant knowledge for each task. Full-text search across all vault layers with relevance scoring and recency weighting.

🧹

Auto-Pruning

Stale knowledge is flagged and archived based on access frequency and age. Active knowledge surfaces automatically. The vault stays lean and relevant.

Compounding Knowledge

A System That Compounds Institutional Intelligence

Flexor's knowledge vaults form a continuous learning loop. Every interaction generates observations. Observations become rules. Rules become knowledge. Knowledge shapes future behavior.

The result: a system that preserves what works across sessions and surfaces lessons where the work happens — not in a separate documentation tool that nobody reads.

Daily Work
Observations
Observations
Rules
Rules
Knowledge
Knowledge
Behavior
Behavior
Daily Work
Continuous improvement loop

Knowledge That Compounds

See how Flexor's four-tier vault architecture turns your team's expertise into permanent organizational intelligence.