Shelvia

Continue technical work in the right AI tool without re-explaining the project.

Shelvia is the trusted continuity layer for teams moving work across Claude Code, Cursor, Codex, ChatGPT and GitHub. Reviewed context and live task state travel with the task, so the next tool picks up exactly where the last one stopped — no reconstructing, no repeating failed decisions.

Humans approve. Nothing continues on an unverified claim.

Request access Watch the loop
Read the docs

Nothing becomes trusted memory until reviewed.

  • ChatGPT
  • Claude
  • Claude Code
  • Codex
  • Cursor
  • Gemini
  • Perplexity
HUMAN APPROVEDPROJECTBRAINChatGPTClaudeCursorLovablePerplexityNotionGitHub

Watch one captured trace become trusted memory.

One cycle, four phases. The same motion every tool, connector, and agent traces when they touch a Shelvia project.

Capture → Review → ContinueOne cycle · ~9 seconds
01 CAPTURE02 REVIEW03 MEMORY04 CONTINUEChatFileLinkHUMAN REVIEWDecision · ✓Source · ✓Prompt · ✓APIMCPSDK

Capture. Review. Continue. Capture back.

AI work no longer lives in one chat in one tool. The bottleneck is no longer generating answers. It is preserving trusted context so the next human or agent continues correctly.

  1. 01
    Capture work

    Import a Claude Code session, a ChatGPT thread, a Cursor diff, or a doc.

  2. 02
    Approve what matters

    Nothing becomes trusted memory until a human approves it.

  3. 03
    Continue with context

    Generate a source-backed pack so the next tool starts from what is true, not a cold start.

  4. 04
    Bring back what changed

    Paste the result back, and Shelvia updates the project brain.

One real loop

Save a Claude Code debugging session. Generate a context pack for Cursor. Cursor produces a fix. Bring the result back into Shelvia. Shelvia updates the project brain with what changed, so the next session starts from the truth, not a guess.

See the loop in the docs

Nothing becomes trusted memory until reviewed.

For work that cannot afford to lose its reasoning.

Different roles produce different outputs, but the shape of the problem is the same: useful context gets buried before it can become progress. Four examples below, with a full page of roles to follow.

  • Founders + product builders

    Keep the decisions that shaped the product.

    • Investor questions, positioning shifts, and user feedback stay near the reasoning that drove them.
    • Pitch drafts and the prompts that produced them stay reusable across pitches.
    • Context packs let the next session start with the project, not from scratch.
    Founder workflow
  • Developers + agent builders

    Coding sessions don't restart from zero.

    • Build notes, architecture decisions, and prompts that produced clean diffs stay in the project.
    • Tools call the memory through API, MCP, or SDK, without bypassing review.
    • Handoffs hand the next session a ranked context pack, not chat scrollback.
    Developer workflow
  • Researchers + students

    Source-first archives, not scattered citations.

    • Citations stay attached to the threads that produced them.
    • Cross-tool research synthesizes into a workspace, not a dozen chat sidebars.
    • Open questions stay open until a source closes them.
    Researcher workflow
  • Teams + product builders

    Shared memory with a real audit trail.

    • Decisions are pinned with the author, the date, and the reasoning behind them.
    • New hires onboard by reading the project, not catching up on Slack scrollback.
    • Roles control who edits, who reviews, and who shares.
    Team workflow
See every role and workflow

Return to the work with the context already connected.

Shelvia keeps decisions, sources, prompts, summaries, and next steps close to the project, so people and tools can continue from trusted memory.

Request access Read the docs

Humans approve. Tools retrieve. Agents reuse.