OUTCOME · SHARED MEMORY

Save up to 55% of your AI coding tokens

If your team codes with Claude Code, Cursor, Windsurf, Cline, OpenAI Codex CLI (GPT), GitHub Copilot, Google Antigravity and Gemini CLI, most of every prompt is context you have already explained. MemHub sends only what changed since each session’s last pull — the repetition simply stops.

repeated context tokens
-55%%
of typical prompts was boilerplate
40%%
minutes saved per developer per day
15–25

* Reference figures — measure your own savings with a pilot sprint.

SOLVED PAIN

The pains MemHub removes from your operation.

Every session re-explains the project

Incremental briefings deliver only what changed since the last pull.

Token bills grow every sprint

Deltas replace dumps: repeated context drops toward zero.

Agents re-propose approaches you already rejected

Pinned decisions outrank noise and steer agents away from settled debates.

Knowledge leaves with the people who hold it

Typed, versioned entries keep the reasoning after people move on.

Real value, for the people building and the people deciding.

For developers and dev teams

  • Sessions open briefed — no more pasting architecture summaries
  • Agents respect pinned invariants across Claude Code, Cursor, Windsurf, Cline, Codex CLI and Antigravity
  • Local-first writes keep you working through VPN flaps and flights

For companies and engineering leadership

  • Lower AI spend: eliminate repeated-context tokens across the whole org
  • Governance from day one — RLS, hashed credentials, audit trail, self-hosting on your PostgreSQL
  • Institutional knowledge survives re-orgs, offboarding, and vendor switches

01Why the waste exists

Every agent session starts amnesiac, so developers re-paste architecture summaries, conventions, and recent decisions. Industry surveys put that ritual at 15–25 minutes and thousands of tokens per session — multiplied by every engineer and every agent, every day.

02How MemHub removes it

MemHub stores that context once, versioned per project. Each device keeps a cursor; sessions receive an incremental briefing of only the memories added since their last sequence. First pull costs a little; every pull after costs almost nothing.

03Where the savings show up

Shorter prompts mean lower API spend and more attention budget for the actual code. Teams typically see the difference first in agent latency, then in the invoice — and pinned invariants keep quality up while volume goes down.

UNIVERSAL COMPATIBILITY

Plugs into any CLI or development tool you use.

If it speaks MCP or reads a JSON config, MemHub plugs in. One command wires the majors; everything else joins as a generic client.

  • Claude Code
  • Cursor
  • Windsurf
  • Cline
  • Codex CLI (GPT)
  • GitHub Copilot
  • Google Antigravity
  • Gemini CLI
  • Aider
  • OpenCode
  • CI bots via REST

Questions, answered straight.

Is the saving really up to that much?

It depends on your baseline: the more repeated context your prompts carried, the more you save. Because MemHub delivers deltas instead of dumps, the repeated portion drops toward zero — run it for a sprint and compare token usage per session.

Does a smaller briefing hurt agent quality?

The opposite: ranked, current context beats stale walls of text. Pinned invariants always surface, and retrieval brings the few memories relevant to the task at hand.

THE NEXT SESSION STARTS HERE

Stop rebuilding context.
Start building the product.

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MemHub