End the Session Context Wars: Introducing

session.llmfeed.json

Published: June 13, 2025 | Author: WellKnownMCP Team

The Problem: AI Memory Silos Are Breaking User Experience

We're living through the great AI memory fragmentation. Every major AI platform has built their own proprietary session memory system:

• ChatGPT Memory: Locked into OpenAI's ecosystem
• Claude Projects: Trapped in Anthropic's garden
• Gemini Workspace: Google's closed loop
• Copilot Context: Microsoft's walled garden

The result? Users are forced to:

• ❌ Recreate context manually when switching platforms
• ❌ Stay locked into one system despite better alternatives elsewhere
• ❌ Lose valuable project history when platforms change or fail
• ❌ Accept whatever memory model each vendor decides to impose

This is vendor lock-in disguised as innovation. It's time for a better way.

The Solution: Open Session Context Standard

Today, we're proposing

session.llmfeed.json

What is

session.llmfeed.json

?

A structured, user-controlled file that captures session context in a platform-agnostic format:

json
{
  "feed_type": "session",
  "metadata": {
    "title": "My AI Project Context", 
    "origin": "user-controlled",
    "created_at": "2025-06-13T15:30:00Z",
    "expires_at": "2026-06-13T15:30:00Z"
  },
  "session": {
    "context_summary": "Working on wellknownmcp.org improvements...",
    "user_preferences": {
      "communication_style": "technical but enthusiastic",
      "output_format": "detailed with examples",
      "expertise_level": "advanced"
    },
    "project_state": {
      "current_phase": "specification finalization",
      "key_decisions": [
        "Human/Agent toggle approved for v2.0",
        "Priority: spec > site > llmca > llmfeedforge"  
      ],
      "pending_items": [
        "Complete LLMFeed specification",
        "Deploy LLMCA certification system"
      ]
    },
    "conversation_patterns": {
      "established_facts": [
        "User prefers React + TypeScript examples",
        "Project uses MCP standards throughout"
      ],
      "recurring_themes": ["interoperability", "open standards"]
    }
  },
  "instructions": {
    "behavior_hint": "Maintain project continuity and technical depth",
    "update_policy": "user_explicit_only",
    "sharing_scope": "private"
  },
  "trust": {
    "user_consent": "explicit", 
    "data_ownership": "user_controlled",
    "exportable": true,
    "revocable": true,
    "retention_policy": "user_defined"
  }
}

Why This Changes Everything

🔓 User Ownership vs Platform Control

Current State:

User context → ChatGPT Memory → OpenAI servers → Black box
User context → Claude Projects → Anthropic servers → Limited access  
User context → Gemini → Google servers → Vendor lock-in

With session.llmfeed.json:

User context → session.llmfeed.json → User's control → Universal portability

🔄 Universal Interoperability

One context file works everywhere:

bash
# Same context, any platform
claude --import session.llmfeed.json "Continue our project discussion"
chatgpt --context session.llmfeed.json "Pick up where we left off"  
gemini --session session.llmfeed.json "Resume our collaboration"

👤 Transparent User Control

Users can:

• ✅ Read their context (human-readable JSON)
• ✅ Edit what gets remembered (direct file modification)
• ✅ Export to any platform (no vendor lock-in)
• ✅ Delete completely (true right to be forgotten)
• ✅ Audit what's being shared with AI systems

The Technical Benefits

For AI Platforms

Competitive Advantage Through Openness:

• Easier user onboarding (import from competitors)
• Reduced development cost (standard vs custom memory systems)
• Enhanced user trust (transparency over black boxes)
• Innovation focus on AI capabilities, not data lock-in tactics

For Developers

Standard Integration:

javascript
// Universal session loading
import { loadSessionContext } from 'llmfeed-session'

const context = await loadSessionContext('session.llmfeed.json')
await aiPlatform.initialize({ context })

For Enterprise

Compliance & Governance:

• Auditable AI interactions
• Data residency control
• Session context portability
• Standardized AI governance policies

The Ecosystem We're Building

Phase 1: Standard Definition ✅

• LLMFeed specification extended with session type
• Reference implementation and validation tools
• Community feedback integration

Phase 2: Tooling & Adoption 🚀

• Browser extensions for session export/import
• CLI tools for context management
• Integration libraries for popular platforms

Phase 3: Platform Integration 🎯

• Native support in AI platforms
• Automatic session.llmfeed.json generation
• Seamless cross-platform experience

Real-World Impact

For Individual Users

"I can finally switch between AI platforms without losing my project context. My data, my control."

For Businesses

"We maintain our AI conversation history in standardized, auditable formats that meet our compliance requirements."

For Developers

"Building AI applications is easier when I don't have to integrate with 5 different proprietary memory APIs."

For the AI Industry

"Competition based on AI capabilities, not data lock-in tactics. Innovation thrives."

The Path Forward

For AI Platform Vendors

Join the movement. Be the first to support

session.llmfeed.json

For Developers

Start building. Integrate session context import/export in your AI applications. Show users you respect their data ownership.

For Users

Demand better. Ask your AI platforms: "When will you support open session context standards?"

Technical Implementation

Basic Session Export

bash
# User-initiated context capture
"Please generate a session.llmfeed.json with our current project context"

# Result: Structured file ready for portability

Cross-Platform Import

bash
# Universal context loading
"Import context from session.llmfeed.json and continue our discussion"

# Works on any supporting platform

Privacy-First Design

json
{
  "trust": {
    "user_consent": "explicit",
    "data_minimization": true,
    "purpose_limitation": "session_continuity_only",
    "retention_policy": "user_controlled"
  }
}

Join the Standard

Implementation Resources

• 📘 Session LLMFeed Specification
• 🛠️ Reference Implementation
• 🧪 Validation Tools

Community

• 💬 GitHub Discussions

The Choice Is Clear

Continue accepting fragmented, proprietary memory systems that lock you in...

Or embrace open standards that put you in control.

The future of AI interaction shouldn't be determined by which platform happened to remember your context. It should be determined by which AI gives you the best results with your data under your control.

session.llmfeed.json

Call to Action

AI Platform Vendors: Implement native

session.llmfeed.json

Developers: Build session context portability into your applications from day one.

Users: Vote with your usage. Choose platforms that respect your data ownership.

Everyone: Help us end the session context wars once and for all.

The agentic web thrives on open standards, interoperability, and user control. Session context should be no different.

Ready to take control of your AI context? Learn more about session.llmfeed.json →

About WellKnownMCP

WellKnownMCP.org is building the open standards that power the agentic web. From structured content feeds to cryptographic trust systems, we're creating the infrastructure that makes AI interactions transparent, portable, and user-controlled.

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