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MnemoCore Roadmap

Open Source Infrastructure for Persistent Cognitive Memory

Version: 4.5.0-beta | Updated: 2026-02-20

Vision

MnemoCore provides the foundational memory layer for cognitive AI systems — a production-ready, self-hosted alternative to cloud-dependent memory solutions.

Current Status (v4.5.0-beta)

Component Status
Binary HDV Engine ✅ Stable
Tiered Storage (HOT/WARM/COLD) ✅ Functional
HNSW Index ✅ Working
Query/Store API ✅ Operational
Qdrant Integration ✅ Available
MCP Server 🟡 Beta
PyPI Distribution 🟡 Pending

Phase 5: Production Hardening

Goal: Battle-tested, enterprise-ready release

5.1 Stability & Testing

  • Increase test coverage to 80%+
  • Add integration tests for Qdrant backend
  • Stress test with 100k+ memories
  • Add chaos engineering tests (network failures, disk full)

5.2 Performance Optimization

  • Benchmark query latency at scale
  • Optimize HNSW index rebuild time
  • Add batch operation endpoints
  • Profile and reduce memory footprint

5.3 Developer Experience

  • Complete API documentation (OpenAPI spec)
  • Add usage examples for common patterns
  • Create quickstart guide
  • Add Jupyter notebook tutorials

5.4 Operations

  • Docker Compose production config
  • Kubernetes Helm chart
  • Prometheus metrics endpoint
  • Health check hardening

ETA: 2-3 weeks

Phase 6: Feature Expansion

Goal: More cognitive capabilities

6.1 Advanced Retrieval

  • Temporal queries ("memories from last week")
  • Multi-hop associative recall
  • Contextual ranking (personalized relevance)
  • Negation queries ("NOT about project X")

6.2 Memory Enrichment

  • Auto-tagging via LLM
  • Entity extraction (names, dates, concepts)
  • Sentiment scoring
  • Importance classification

6.3 Multi-Modal Support

  • Image embedding storage
  • Audio transcript indexing
  • Document chunk management

ETA: 4-6 weeks

Phase 7: Ecosystem

Goal: Easy integration with existing AI stacks

7.1 Integrations

  • LangChain memory adapter
  • LlamaIndex integration
  • OpenAI Assistants API compatible
  • Claude MCP protocol

7.2 SDKs

  • Python SDK (official)
  • TypeScript/JavaScript SDK
  • Go SDK
  • Rust SDK

7.3 Community

  • Discord/Slack community
  • Contributing guide
  • Feature request process
  • Regular release cadence

ETA: 8-12 weeks

Long-Term Vision (Phase 8+)

Research Directions

  • Hierarchical memory (episodic → semantic → procedural)
  • Forgetting curves with spaced repetition
  • Dream consolidation during idle cycles
  • Meta-learning from usage patterns

Platform

  • Managed cloud offering (optional)
  • Multi-tenant support
  • Federation across nodes
  • Privacy-preserving memory sharing

Release Schedule

Version Target Focus
v4.5.0 Current Beta stabilization
v5.0.0 +2 weeks Production ready
v5.1.0 +4 weeks Performance + DX
v6.0.0 +6 weeks Feature expansion
v7.0.0 +10 weeks Ecosystem

Contributing

MnemoCore is open source under MIT license.

Roadmap maintained by Robin Granberg & Omega