Roadmap¶
V3 — Engineering Release¶
Goal: Release a documented, benchmarked local memory engine suitable for engineering review.
Status: ✅ Complete
Checklist¶
| Item | Status |
|---|---|
| Memory extraction | ✅ Complete |
| Embeddings | ✅ Complete |
| Vector search | ✅ Complete |
| Graph relationships | ✅ Complete |
| Ranking pipeline | ✅ Complete |
| Benchmarks | ✅ Complete |
| Synthetic World | ✅ Complete |
| Regression suite | ✅ Complete |
| CLI | ✅ Complete |
| README | ✅ Complete |
| API examples | ✅ Complete |
| Installation guide | ✅ Complete |
| Release package | ✅ Complete |
V3 is archived. The codebase now lives as V4.
V4 — Architecture Release¶
Goal: Transform Memory Daemon from a memory engine into a cognitive architecture capable of coordinating multiple reasoning systems while preserving modularity and deterministic behavior.
Status: 🚧 In Progress (~90%)
Release Date: TBD (Current)
Major Goals¶
Blackboard Architecture¶
Create a central reasoning workspace where independent modules collaborate without being tightly coupled.
Purpose: - Shared reasoning state - Decoupled components - Cooperative processing - Easier future expansion
Status: ✅ Complete
Scheduler¶
Introduce intelligent task scheduling.
Responsibilities: - Background memory maintenance - Deferred processing - Memory aging - Consolidation timing - Pipeline orchestration
Status: ✅ Complete
Computation Graph¶
Replace linear execution with graph-based execution.
Allows: - Dynamic execution paths - Parallel processing - Conditional routing - Future optimization
Status: 🔄 In Progress
Memory Interaction¶
Expand interaction between memory types.
Examples: - Semantic ↔ Episodic - Goals ↔ Memories - Structured ↔ Graph - Graph ↔ Retrieval
Status: ✅ Complete
Memory Consolidation¶
Allow memories to evolve over time.
Features: - Merge duplicates - Reinforce important memories - Create summaries - Build higher-order concepts
Status: ✅ Complete
Memory Aging¶
Introduce lifecycle management.
Stages: - Fresh - Active - Stable - Dormant - Archived
Status: ✅ Complete (via Pruner)
Relationship Intelligence¶
Replace placeholder relationships with richer extraction.
Targets: - Better entity resolution - Typed relationships - Confidence scores - Graph enrichment
Status: ✅ Complete
Planner¶
Introduce a planning layer capable of coordinating reasoning modules and future autonomous workflows.
Status: 🔜 Planned
Local Tool System¶
Provide a standardized interface for local tools.
Examples: - File access - Search - Diagnostics - External plugins
Status: 🔜 Planned
Success Criteria¶
V4 is complete when Memory Daemon is no longer simply storing memories but coordinating multiple subsystems through a unified reasoning architecture.
Progress: ~90%
V5 — Community Release¶
Goal: Deliver Memory Daemon as a stable, documented, extensible platform suitable for public adoption and long-term maintenance.
Status: 🔬 Research / Planning
Release Date: TBD
Platform Goals¶
Stable API¶
Versioned interfaces with backwards compatibility.
Status: 🔜 Planned
Stable Data Schema¶
Long-term database compatibility with documented migration paths.
Status: 🔜 Planned
Plugin System¶
Allow developers to extend Memory Daemon without modifying the core.
Potential plugin categories: - Retrieval - Memory types - Embeddings - Tools - Ranking - Exporters
Status: 🔜 Planned
Documentation¶
Complete documentation set including: - User Guide - Developer Guide - Architecture Guide - API Reference - Tutorials - Examples
Status: 🟡 In Progress
Community Infrastructure¶
- Contribution Guidelines
- Issue Templates
- Discussion Channels
- Roadmaps
- Coding Standards
Status: 🔜 Planned
Packaging¶
Official release builds.
Targets: - pip - Docker - Standalone binaries - Optional installers
Status: 🟡 In Progress
Optional GUI¶
A graphical interface for users who prefer visual interaction over the CLI while maintaining feature parity.
Status: ✅ Complete (FastAPI GUI)
Performance Optimization¶
Focus areas: - Query latency - Memory usage - Graph traversal - Embedding cache - Ranking efficiency
Status: 🔄 Ongoing
Memory Compression¶
Research and implement long-term storage optimization.
Potential directions: - Hierarchical summaries - Semantic compression - Redundant memory consolidation - Archive strategies
Status: 🔬 Research (V5 proposal)
Release Vision¶
By the completion of V5, Memory Daemon should function as a mature local memory platform that is:
- ✅ Stable
- ✅ Extensible
- ✅ Well documented
- ✅ Benchmark validated
- ✅ Community maintainable
- ✅ Suitable for research, personal assistants, robotics, and local AI systems
V5 is the project's first true ecosystem release rather than simply another software version.
Timeline Summary¶
| Version | Status | Focus |
|---|---|---|
| V1 | ✅ Archived | Core memory |
| V2 | ✅ Archived | Ranking + feedback |
| V3 | ✅ Archived | Type routing + BM25 |
| V4 | 🚧 Current | Reasoning infrastructure |
| V5 | 🔜 Planned | Community release |
See Also¶
01_project_status.md— Current status02_project_overview.md— Project overview09_release_strategy.md— Release planv5.md— V5 research proposal