docs(cortex-memory): add new documentation for Cortex Memory provider…

[SaintNick1214]

PR Description for Vercel AI SDK

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Background

The AI SDK community is growing rapidly, and developers need more options for persistent memory solutions. Currently, most available memory providers are cloud-only services that require API keys and create vendor lock-in.

Cortex Memory fills a critical gap by providing a self-hosted, TypeScript-native persistent memory solution that integrates seamlessly with the Vercel AI SDK. Built on Convex, it offers:

• Complete data sovereignty (no third-party APIs)
• True multi-tenancy with Memory Spaces
• ACID guarantees for data integrity
• Cross-application memory sharing (Hive Mode)
• Edge runtime compatibility

This addition gives developers a production-ready alternative that prioritizes data ownership and architectural flexibility.

Summary

This PR adds comprehensive documentation for Cortex Memory (@cortexmemory/vercel-ai-provider) as a community provider.

What's Added:

• Documentation file: content/providers/03-community-providers/69-cortex-memory.mdx
• Package: @cortexmemory/vercel-ai-provider v0.1.2 (published on NPM)

Documentation Includes:

• ✅ Installation and setup guide (3 steps with Convex deployment)
• ✅ 10+ usage examples:
  • Basic chat with automatic memory
  • Semantic search with embeddings
  • Multi-tenant SaaS patterns
  • Multi-provider support (OpenAI, Anthropic, Google)
  • Manual memory control APIs
  • Hive Mode for cross-application memory
  • Edge runtime examples
• ✅ Complete configuration reference (12+ options)
• ✅ Feature comparison table (Cortex vs cloud solutions)
• ✅ Migration guide from mem0
• ✅ "How It Works" visual flow
• ✅ Troubleshooting section
• ✅ Links to all resources (website, docs, GitHub, examples)

Key Features Highlighted:

• 🏠 Self-hosted on Convex (no API keys required)
• 📦 TypeScript-native (not ported from Python)
• 🎯 Memory Spaces for true multi-tenancy isolation
• 🐝 Hive Mode for cross-application memory sharing
• ⚡ Edge compatible (Vercel Edge Functions, Cloudflare Workers)
• 📊 ACID guarantees via Convex transactions
• 🔄 Automatic versioning (10 versions per memory)
• 🔍 Semantic search with embedding support
• 🧬 Fact extraction for structured knowledge

Package Information:

• NPM: https://www.npmjs.com/package/@cortexmemory/vercel-ai-provider
• GitHub: https://github.com/SaintNick1214/Project-Cortex
• Website: https://cortexmemory.dev
• Docs: https://docs.cortexmemory.dev
• Examples: https://github.com/SaintNick1214/Project-Cortex/tree/main/packages/vercel-ai-provider/examples
• License: Apache 2.0

Manual Verification

The package and documentation have been thoroughly tested:

Package Testing:

• ✅ Published on NPM as @cortexmemory/vercel-ai-provider v0.1.2
• ✅ Implements LanguageModelV2 specification correctly
• ✅ Works with OpenAI, Anthropic, Google providers
• ✅ Edge runtime tested in Vercel Edge Functions
• ✅ Streaming support verified with automatic buffering
• ✅ Manual memory control APIs tested (search, remember, clear)
• ✅ Memory Spaces isolation verified
• ✅ Hive Mode cross-application sharing tested

Documentation Verification:

• ✅ All code examples tested and working
• ✅ Installation steps verified end-to-end
• ✅ All links verified (website, docs, GitHub, NPM)
• ✅ MDX syntax validated
• ✅ Follows existing community provider format

Example Applications:

Working example apps in the repo demonstrate:

• Basic chat with persistent memory (Next.js App Router)
• RAG pattern with documents + conversation memory
• Multi-tenant SaaS patterns

Checklist

• Tests have been added / updated - N/A (documentation only, package has its own test suite)
• Documentation has been added / updated - Complete documentation added for community provider
• A patch changeset for relevant packages has been added - N/A (documentation only, no SDK changes)
• I have reviewed this pull request - Self-reviewed for accuracy, formatting, and completeness

Future Work

Potential future enhancements (not required for this PR):

• Video tutorial showing Cortex Memory setup and usage
• Blog post comparing self-hosted vs cloud-only memory solutions
• Additional example apps (multi-modal, advanced RAG patterns)

Related Issues

N/A - This is a new community provider addition.

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Additional Context

Why Cortex Memory?

Cortex addresses key pain points developers face with existing memory solutions:

Challenge	Cortex Solution
Vendor lock-in	Self-hosted on Convex (deploy anywhere)
API key management	No API keys needed
Multi-tenancy	Built-in Memory Spaces
Data sovereignty	Full control over infrastructure
Edge compatibility	Zero Node.js dependencies
Cost unpredictability	Fixed Convex pricing vs per-API-call

Comparison with Alternatives

Feature	Cortex	Cloud Solutions
Self-hosted	✅	❌
API key required	❌	✅
Memory Spaces	✅	❌
ACID guarantees	✅	⚠️
Versioning	✅	❌
Edge compatible	✅	⚠️
Cross-app sharing	✅	❌

Community Reception

• Active development and maintenance
• Production-ready (v0.1.2)
• Apache 2.0 licensed (permissive)
• Growing adoption for self-hosted AI applications

Resources for Review

• Complete Migration Guide from mem0
• Full API Reference
• Advanced Usage Guide
• Working Examples

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Thank you for reviewing! I'm happy to address any feedback or make adjustments. 🙏