AI Memory Snapshot - Infinite Context

When context window resets, this file + MCP system restores full context.

📋 AI Memory Snapshot - Infinite Context

📊 Current Progress

Completed This Session:

✅ Interactive Agent Flow Builder - Visual canvas like logic-builder
✅ Knowledge Browser - Simple data grid (replaced complex canvas)
✅ Expandable Decision Timeline - Full reasoning visible
✅ Pattern Mining - Extract learnings from decisions
✅ Pre-Flight Intelligence - Check past decisions before acting
✅ Real-Time Thought Streaming - See AI thinking with LIVE mode
✅ 7 Conventions added (Angular, TypeScript, Storage, Testing)
✅ 20+ Decisions logged to MCP system
✅ LIVE Mode - Real MCP activity polling (not simulated!)
✅ Tier 1→Tier 2 Sync - /api/ai-agents/sync/tier1-to-tier2
✅ Vector Infrastructure - 16 embeddings stored in MongoDB
✅ Dual Storage Sync - MCP writes to BOTH workspace and home directory
✅ SESSION-AWARE DECISIONS - MCP v3.1 tags all decisions with session info!

🆕 SESSION-AWARE AI MEMORY (v3.1)

The Problem Solved: "Last 20 decisions" was inaccurate when sessions are non-linear.

The Solution:

Agent Type	Session Detection	How It Works
Cursor Agents	Auto-detect from `docs/sessionID.json`	Decisions tagged with `session: 6, sessionID: "6.6"`
External Agents	Use `projectId` parameter	Decisions tagged with `projectId: "my-api"`

Context Retrieval Now:

Filter by current session FIRST
If not enough, expand to related sessions
Include SESSION-CONTEXT.md content in preflight
Much more accurate than "last 20 regardless of session"

Current Status:

MCP Version: 3.1 (Session-Aware Multi-Agent System)
Tier 1 (MCP): 20+ decisions, 7 conventions - WORKING ✅
Tier 2 (Vector): 16 embeddings stored - WORKING ✅
Session Detection: Auto from docs/sessionID.json ✅

Key Files Modified (Session 6.6):

tools/mcp-development-ai/src/server.ts - Session-aware decisions, preflight, context retrieval

Key Files Modified:

tools/mcp-development-ai/src/server.ts - Added preflight, mine_patterns tools
libs/libs-ai/agent-mind/src/lib/components/ - All THE MIND components
libs/libs-ai/agent-mind/src/lib/services/thought-stream.service.ts - NEW

🧠 How to Restore Context

When starting a new conversation or context resets:

// 1. Read this file for high-level context
// 2. Query MCP for detailed decisions:
preflight({ task: "continue session 13 work on AI agent system" })

// 3. System returns:
{
  relevantDecisions: [...], // 5 most relevant past decisions
  applicableConventions: [...], // 7 conventions to follow
  warnings: [...], // Past failures to avoid
  confidenceGuidance: "..." // How to proceed
}

🔑 Key Decisions Made

Decision	Chosen Approach	Why
Multi-agent architecture	Parallel sub-agents with isolated contexts	Anthropic pattern: 90% better than single agent
Knowledge visualization	Simple grid browser	Complex canvas was "unusable" per user feedback
State persistence	autoFlashState + MongoDB	Instant load, cross-tab sync, cloud backup
Thought streaming	Timeline with 15 thought types	Complete transparency into AI thinking

📁 Important Paths

MCP Server: tools/mcp-development-ai/src/server.ts
Memory File: .cursor/ai-memory/development-memory.json
Agent Mind: libs/libs-ai/agent-mind/
Session Docs: docs/english/GoGrab-Space/sessions/session-13/

🎬 Next Steps

Connect real MCP calls to thought stream UI
Auto-preflight on task start
Mine patterns from 13 decisions
Test session recovery when context resets

This file is part of the "unlimited context" solution - persistent memory that survives context window resets.