ThreadRecall
Early Access
use cases

See what ThreadRecall helps you remember.

Different people use AI differently. ThreadRecall keeps the thread across all of it — simple searches, cross-app work, project context, and your personal knowledge base.

01 — everyday recall

Never lose a chat.

"I closed the chat window. A week later, I need the answer again."

  • captured automatically while you work
  • searchable by keyword or meaning
  • find it by what you said, not what app it was in

Even if the original chat is closed, buried, or deleted from view, the useful context is still searchable locally.

Recent conversations
Claude · Oct the best strategy for rebase vs merge depends on team...
ChatGPT · Sep you can handle this with a custom hook that watches...
Gemini · Aug for monorepo tooling, Nx and Turborepo handle module...
Search your conversations
⌕ rebase strategy
Claude · Oct the best strategy for rebase vs merge depends on team...
ChatGPT · Sep you can handle this with a custom hook that watches...
Gemini · Aug for monorepo tooling, Nx and Turborepo handle module...
Search your conversations
⌕ rebase strategy
Match found
Claude · Oct the best strategy for rebase vs merge depends on team...
ChatGPT · Sep you can handle this with a custom hook that watches...
02 — cross-app memory

Work across AI apps.

"I brainstormed in ChatGPT, refined in Claude, and implemented in Codex."

  • Claude, ChatGPT, Codex, Gemini, and Perplexity
  • context flows between them
  • one search covers all

Your work does not live in one AI app. ThreadRecall gives Claude, ChatGPT, Codex, Gemini, and Perplexity a shared memory layer.

Captured from
ChatGPT brainstorm
Claude refinement
Codex implementation
Linking context
ChatGPT
Claude
Codex
Context restored
⟡
Thread recovered
pricing redesign · 3 apps · 14 sessions
ChatGPT Claude Codex
All sessions searchable from one place.
03 — obsidian sync

Feed your second brain.

"I want my AI conversations to become part of my knowledge system."

  • connects to your Obsidian vault
  • one note per session, auto-tagged by topic
  • lives alongside your own notes

Optional Obsidian Sync turns AI sessions into linked notes you can keep, search, and build on.

Recent sessions
Claude · Nov Let's walk through a pricing model for the B2B tier...
ChatGPT · Nov Here's how I'd structure the onboarding flow for new...
Codex · Oct The rate limiting middleware should run before the auth...
Syncing to Obsidian
Pricing model — B2B tier
session from Claude, 3 Nov
#pricing #b2b
Rate limiting design
session from Codex, 1 Oct
#backend #api
Obsidian Sync
Pricing model — B2B tier
session from Claude · linked to [[Strategy notes]]
#pricing
Rate limiting design
session from Codex · linked to [[Backend 2025]]
#api
04 — decision recall

Remember decisions.

"What did I decide about pricing / roadmap / design direction?"

  • search by topic or project
  • find the reasoning, not just the answer
  • works across months of AI conversations

ThreadRecall helps recover the reasoning behind decisions, not just the final answer.

Older conversations
Perplexity · Jul Freemium conversion benchmarks: median 3–5% for B2B...
ChatGPT · Aug The roadmap priority for Q3 should focus on retention...
Claude · Sep On the pricing direction: the annual plan makes more...
Search your conversations
⌕ pricing direction
Perplexity · Jul Freemium conversion benchmarks: median 3–5% for B2B...
Claude · Sep On the pricing direction: the annual plan makes more...
Search your conversations
⌕ pricing direction
Decision context
Claude · Sep annual plan makes more sense — lower CAC, better LTV
Reasoning from 3 months ago, still searchable.
05 — project continuity

Restart a project.

"I haven't touched this in three weeks. Where did I leave off?"

  • Memory Brief surfaces recent context
  • see what was decided last
  • continue without re-explaining the project

Pick up long-running work without rereading every old chat or explaining the project from scratch.

Project sessions
Perplexity · Apr Research: PKCE vs implicit grant — current best practice...
Claude · Apr Architecture review: Postgres for primary, Redis deferred...
Codex · May Implemented PKCE handler — token rotation logic done...
Generating Memory Brief
Memory Brief
Using Postgres + deferred Redis
Auth: PKCE flow, not implicit
Loading more context
Memory Brief
Memory Brief — API project
Using Postgres + deferred Redis until scale requires it
Auth: PKCE flow, not implicit grant
Next step: rate limiting + API key rotation design
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© 2026 ThreadRecall Labs ThreadRecall is macOS-first. More platforms coming. Built by an ex-OpenAI and Google designer who got tired of AI forgetting everything that mattered.