Project Memory
Your project stops forgetting.
AI is brilliant in a single conversation and amnesiac the next morning. wikiTaTa fixes the memory, not the intelligence — every decision, bug, spec, and note becomes durable, structured, recallable knowledge.
What it is
wikiTaTa gives your project a persistent memory system. Instead of important details disappearing into old chats, every decision, bug, specification, deployment note, task, and conversation becomes part of a structured knowledge base that AI and humans can continuously reference. The result is far less repeated prompting, better continuity, and a project that becomes smarter over time instead of more fragmented.
How it works
Cards are the unit
Every piece of knowledge — a decision, a spec, a bug, a contact, a runbook — is a structured card. Cards have a title, body, tags, priority, and links to other cards, so knowledge is connected rather than scattered across chat logs.
Tiered recall
Each card carries a one-line summary, a key-points view, and full content. Agents pull the smallest slice that answers the question — a headline when scanning, the full body only when actively working — so context stays focused and cheap.
Semantic search
Cards are embedded, so you find knowledge by meaning, not just keywords. Ask "how did we handle rate-limiting?" and the right card surfaces even if it never used those words.
Agents read and write
Your AI agents reference cards before acting and propose updates as work happens — so the memory compounds instead of going stale. New sessions start already knowing what the last one learned.
What it changes for you
- Stop re-explaining your project at the start of every session.
- Decisions stay decided — no re-litigating the same question next week.
- Onboarding a new teammate or a new agent means pointing at the cards, not a brain-dump.
- The project gets sharper the longer you use it, instead of more fragmented.
wikiTaTa is in private early access. If this is your kind of problem, request an invitation.