AI Memory

AI-Memory

AI-Memory is a long-lived AI development harness: persistent project memory, a built-in AI project manager, and a BMad Method–driven agent team that carry a project from its first commit through every release to long-term maintenance.

It gives AI-assisted development the three things a real project needs that a chat window doesn't:

- Memory that persists — decisions, code patterns, and conventions are captured as you work and resurfaced automatically at session start and per turn, so you never re-explain past work. *(Project-scoped, backed by a Qdrant vector store.)*
- A project manager — Parzival, a Technical PM & Quality Gatekeeper, plans the work, dispatches parallel agent teams, reviews their output adversarially, and holds quality gates across sessions. *He recommends; you decide.*
- A real team — Parzival runs a BMad Method roster — developer, reviewer, tech-writer, analyst, architect, UX — so build, review, and docs each get the right specialist.

Built for the whole arc of a project, not a single prompt:

Parzival routes each session to the right phase, loads only that phase's context, and — with the memory layer, source-of-truth drift detection, and a self-maintaining wiki — keeps a months-long project coherent as it grows through updates and new features.

Who it's for: developers and small teams doing AI-assisted development who want continuity, oversight, and quality gates across long-lived projects — not just autocomplete.

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Key Features

- Cross-Session Memory — Resumes where you left off; no re-explaining past decisions.
- Multi-IDE Support — Works with Claude Code, Gemini CLI, Cursor, and Codex CLI via a unified adapter layer.
- Semantic Decay — Older memories lose relevance automatically via…