shared memory + follow-through for work across AI tools

Your AI work,
carried forward.

3ngram is shared memory and follow-through for people who do real work across AI tools. It keeps decisions, commitments, blockers, and source material from leaking when sessions end and tools change.

Start free See the loop
Shaped by real product, engineering, and operations workflows
Works inside your MCP clients  ·  one shared context  ·  see setup docs ↗
the moat · cross-surface

Cross-surface is the moat nobody else can build.

Every tool that already holds context has a business reason to keep it there. 3ngram is the only layer with no go-to-market incentive to keep you inside one walled garden, which is why the typed work-state can travel between tools instead of being captured by one.

  • Linear
    project-tool bound
    cannot credibly say works equally well outside Linear.
  • Notion
    workspace bound
    cannot say your context follows you to Cursor and Claude Code.
  • Microsoft Copilot
    M365 license bound
    tied to E3/E5 by definition. No story for the Claude or ChatGPT user.
  • ChatGPT memory
    single-provider
    by design. Stays inside the OpenAI walled garden.
  • Claude memory
    single-provider
    by design. Stays inside the Anthropic walled garden.
  • Cursor memories
    IDE + repo bound
    scoped to the editor and the repository. Context does not leave the IDE.
  • Glean
    enterprise-bound
    Slack / Drive / Jira ecosystem. The enterprise procurement motion is the wedge.
  • 3ngram
    cross-surface
    no GTM reason to keep you inside one tool. Your typed work-state (decisions, commitments, blockers, open questions, source facts) travels with the work.
01 · shared memory + follow-through

Shared memory is the start. Follow-through is the product.

3ngram keeps decisions, commitments, blockers, and source context attached as work moves between Claude, ChatGPT, Cursor, Codex, and the next person who needs the thread.

01 · shared memory

Carry the work state into the next session.

3ngram turns AI sessions and source-system context into a shared record of the decisions, commitments, blockers, and preferences that change what should happen next.

  • DecisionsKeep the answer and the rationale attached, even when the next session starts in another tool.
  • CommitmentsCapture who promised what, when it is due, and whether it is open, waiting, or resolved.
  • BlockersKeep stuck work visible until it clears instead of burying it inside an old transcript.
Why 3ngram works →
work-state briefnext session
Thread
raw
Decision
kept
Commit
tracked
Blocker
open
Source
linked
Brief
carried
less re-explainingmore state carried forward
methodology →

02 · follow-through

Keep open loops from disappearing.

A promise in chat should not stay generic text. 3ngram turns it into something with state, source, and a next moment to surface.

  • LifecycleCommitments can be open, waiting, overdue, or resolved instead of sitting in a flat memory list.
  • SurfacingBriefings, stale-item reviews, digests, and bot nudges bring the right loop back at the right time.
  • HandoffThe next model, teammate, or future you starts with what changed, what is blocked, and what still needs action.
See it in five workflows →
open loops · today6 items
09:41claudeDecision captured: launch scope stays narrow until onboarding clears.DECISION
09:38chatgpt"I'll send the case study to Lindsey by Friday."COMMIT
09:30githubRelease issue still blocked on export verification.BLOCKER
09:22cursorRollback kept behind feature flag; rationale linked to PR.DECISION
09:14linearENG-2218 moved to closeout sprint; owner changed to Priya.SIGNAL
09:08google docsPricing draft approved; next revision assigned to design.DECISION

03 · control

Read what you ask it to. Forget on demand.

3ngram only saves what an agent or session explicitly hands it, never on a background scrape. Set source-level rules, scope retention by topic, and revoke any signal in a single click.

  • ScopePer-source policies for what gets captured and how long it lives.
  • Forget'Drop everything from this thread' really drops it, and won't be re-derived.
  • TrustYour captures are not used to train foundation models. Security details live in the security note.
Read the security note →
source policies · workspacescoped rules
Save from AI sessions
Only what the agent or import hands to 3ngram. Never passive screen reading.
Index GitHub when connected
Issues, PRs, and repo context stay linked to their source.
Sync Jira and Confluence
Project context stays searchable without becoming the homepage story.
Apply retention by source or topic
Scope what gets kept and revoke what should disappear.
Train foundation models on your data
Never. Contractual, in the DPA.
LOCKED · OFF
02 · how it works

Capture the thread. Carry the work forward.

No new app to live in. No prompts to memorize. Capture the work state once, then let it show up when the next session, teammate, or agent needs the thread.

01 · capture

Save the work state. Anywhere.

From any AI session, your agent can save a commitment, decision, blocker, or piece of context. 3ngram keeps the source attached so the next person can verify it.

02 · track

Turn open loops into objects.

Commitments have status. Blockers stay visible. Decisions keep their rationale. The important parts of the work stop living as loose text in one chat window.

03 · carry

Brief what comes next.

The next session opens with the right work state. The next agent sees what changed. The next teammate does not need you to be the integration layer.

03 · use cases

Five roles. One loop.

Different roles lose different context. The loop is the same: keep decisions, commitments, blockers, and source context alive after the AI session ends.

3ngram · your new chief of staff

Walk into Monday already knowing what slipped.

3ngram quietly tracks every commitment your principal makes across AI chats, docs, and project tools, then resurfaces the ones that didn't get done before standup, without anyone having to hunt for them.

Same loop, very different week from a PM, a founder, or a senior engineer. Switch tabs above.

see your chief-of-staff workflow →
04 · governed work

Memory Context at scale is infrastructure, not a feature.

3ngram is the system of record for everything your AI tools said yes to. So we built it like a system of record: scoped, governed, observable, reversible.

Read the security note

Governance

Workspace, source, and topic-level retention rules for single-org workspaces today. Advanced admin controls stay on the roadmap, not the current capability set.

Retention rules · per source

Managed

We run the database, the upgrades, the backups, and the capacity. You connect a source and use it. No infrastructure to operate on your side.

Managed cloud · EU-hosted

Auditable

Privileged access and user writes are recorded to an append-only audit log the application cannot modify. Every captured row links back to the message that produced it.

Append-only · queryable

Forgettable

One click revokes a thread, a topic, or a whole source. Hard-delete from settings is irreversible; we never re-derive what you delete.

Hard-delete · irreversible

05 · writing

Notes on the follow-through thesis.

Why retrieval is only the entry point, and why the real product is keeping work from leaking across AI sessions.

agents ·

Curation Is Infrastructure, Judgment Is the Job

agents ·

Transcript Mining Is the New Retrospective

agents ·

The Agent-Readable Company

Stop carrying continuity across AI tools yourself.

Give Claude, ChatGPT, Cursor, and Codex shared memory and follow-through, so the work you decide in one session is still accountable in the next.

Start free Why 3ngram?