Friday

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).

    The Problem
    Architecture
    Dual-Engine
    Memory Lifecycle
    Quickstart
    Python SDK
    MCP Setup
    Agent Rules
    API Reference

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

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:

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:
   $$\text{Table: accounts} \longrightarrow \text{FK: subscriptions} \longrightarrow \text{Service: BillingService} \longrightarrow \text{Worker: InvoicePoller}$$

Architecture: Multi-Layer Cognitive Substrate

Friday runs as a self-hosted background service providing a structured, four-tier memory substrate accessed via the…