Release Strategy¶

Memory Daemon follows a phased release strategy aligned with architectural maturity.

Each version targets a specific audience and serves a distinct purpose.

Version Overview¶

Version	Type	Audience	Goal
V3	Engineering Release	Recruiters, Hiring Managers, Engineers	Demonstrate architecture
V4	Architecture Release	Developers, Researchers	Expand reasoning architecture
V5	Community Release	Everyone	Stable public platform

Status: ✅ Complete (Archived)

Audience: - Recruiters - Hiring managers - Engineers

Goal: Demonstrate architecture.

Key Deliverables: - Complete memory engine - Retrieval + Ranking pipeline - Benchmark suite - Synthetic world testing - Documentation

Success Criteria: - Runs locally on 4GB RAM - 150ms query latency - Open source, inspectable

Status: 🚧 In Progress (Current)

Audience: - Developers - Researchers - Early adopters

Goal: Expand reasoning architecture.

Key Deliverables: - Blackboard architecture - Task scheduler - Goals and planning - Computation graphs - Reasoning nodes - Full API

Success Criteria: - Reasoning over memory - Parallel task execution - Goal-driven workflows - Extensible reasoning nodes

Status: 🔜 Planned

Audience: - Everyone - Open source community - Researchers - Developers - End users

Goal: Stable public platform.

Key Deliverables: - Stable API - Plugin system - Complete documentation - PyPI package - Docker images - Community infrastructure

Success Criteria: - Public adoption - Community contributions - Stable API surface - Production ready

No semantic versioning yet. Versions are architectural milestones.