Friday

Self-hosted persistent cognitive memory layer for AI coding agents.

Persists architecture decisions, schemas, and constraints across sessions via the Model Context Protocol (MCP).

Friday Neural Studio — Real-time 3D WebGL knowledge graph visualizer rendering service topologies, dynamic access heatmaps, and automated memory consolidation.

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The Problem: Session Amnesia

Modern AI coding agents (Cursor, Claude Code, Antigravity, VS Code) excel at isolated code generation. However, in continuous engineering workflows, developers encounter a structural limitation: Session Amnesia.

Current workarounds fall into three deeply flawed patterns:

                  ┌─────────────────────────────────────────────────────────┐
                  │          WHY STANDARD APPROACHES BREAK DOWN             │
                  └─────────────────────────────────────────────────────────┘

   1. Context Windows (RAM)           2. Static Rules Files             3. Standard Vector RAG
  ┌─────────────────────────┐       ┌─────────────────────────┐       ┌─────────────────────────┐
  │ • Ephemeral volatile    │       │ • Linear token tax      │       │ • Matches text phrasing,│
  │   memory (clears on     │       │   (2,500 tokens burned  │       │   NOT system topology   │
  │   every new thread)     │       │   on every trivial fix) │       │ • Blind to directed     │
  │ • Lost-in-the-middle    │       │ • Stale rules accumu-   │       │   call graphs & schema  │
  │   degradation on 50k+   │       │   late & conflict       │       │   dependencies          │
  │   token prompts         │       │ • Zero cross-tool sync  │       │ • Hallucinates blast    │
  │ • High latency & cost   │       │   (Cursor ≠ Claude CLI) │       │   radii of refactors    │
  └─────────────────────────┘       └─────────────────────────┘       └─────────────────────────┘

1. Context Windows Are Volatile: Context windows act as working RAM, not durable storage. Clearing a thread or restarting an agent resets state. Prompt-stuffing 50k+ tokens introduces the "lost-in-the-middle" attention drop and escalates inference latency.
2. Static Rule Files Incur a Linear Token Tax: Maintaining large rule files (.cursorrules, AGENTS.md) forces the model to re-read thousands of lines on every keystroke, leading to contradictory instructions and cross-editor fragmentation.
3. Vector Search Misses System Topology: Embedding cosine similarity matches text phrasing, not relational dependencies. Vector search cannot traverse directed graphs: $$\text{Table: accounts} \longrightarrow \text{FK: subscriptions} \longrightarrow \text{Service: BillingService} \longrightarrow \text{Worker: InvoicePoller}$$

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Architecture: Multi-Layer Cognitive Substrate

Friday runs as a self-hosted background service providing a structured, four-tier memory substrate accessed via the Model Context Protocol (MCP):