Slipstream — your AI agents, on a fraction of the tokens

Your AI agents, on a fraction of the tokens.

Slipstream is a desktop app that compresses agent context before it reaches the model. Same answers, 60–95% fewer tokens. No terminal, no JSON, no account.

Download Slipstream macOS Windows Linux

Free · local-first · no Python required · built on headroom

142Mtokens saved
63%cost reduction
1-clicksetup, no terminal
5 agentsClaude Code, Codex, Cursor, Aider, Copilot

Watch the slip.

Agent context is mostly drag — stale file dumps, duplicate tool output, verbose logs. Slipstream cuts it before the model ever bills you for it.

context → model 
› user: fix the failing auth test in api/client.spec.ts› read_file src/api/client.ts  …412 lines — 396 unchanged since last read…  import { fetchJson } from "./fetch";   // unchanged  import { AuthStore } from "./auth";    // unchanged  export async function refreshToken(s: AuthStore) {    return fetchJson("/v1/refresh", { token: s.raw })  }› run_tests — full stack trace ×3 (identical)    at Object.<anonymous> (node_modules/jest/…)    at processTicksAndRejections (node:internal/…)  ✗ refreshToken retries on 401 — expected 2 calls, got 1› git_status — 214 untracked files in node_modules/.cache› read_file package-lock.json (8,102 lines)› tool: apply_patch src/api/client.ts
tokens in 12,480
tokens out 12,480
this request −0%

Same question, same answer. The model just stops reading what it already knows.

Built for engineers who value every token.

Slipstream wraps headroom — the open-source context-compression layer — in a desktop app that needs zero setup.

Trim bloated context

Removes noise, duplicates and verbose history before it hits the model. 60–95% token reduction on typical agent traffic, with answers intact.

See savings in real time

Tokens saved, dollars saved, compression ratio — per model, per agent, over time. History lives in local SQLite and survives restarts.

Works across agents

One toggle wraps Claude Code, Codex, Cursor, Aider or Copilot. Anything else points at the local proxy with one base URL.

Local-first control

Your code and your data stay on your machine. No cloud, no account. Telemetry is shown honestly and is one click to disable.

Lives in your menu bar

Status, today's savings and agent toggles — one glance, one click. The full window is there when you want depth.

Config without JSON

Compression modes, token budgets, model limits and pricing — edited in a validated GUI with a confirm-with-diff for risky changes.

MCP & shared memory

Install the headroom MCP server into Claude Desktop or Claude Code in one click. Browse, search and prune the cross-agent memory store.

How Slipstream works.

Three steps. The third one is just watching.

  1. 1

    Install

    Download and open. Slipstream provisions its own runtime — no Python, no pip, no terminal. Under a minute on a cold machine.

  2. 2

    Connect your agent

    Flip the toggle next to a detected agent, or point any OpenAI-compatible tool at the local proxy:

    http://localhost:8787/v1
  3. 3

    Start saving

    Context is optimized in real time, on-device. The dashboard shows exactly what each request would have cost without it.

What's your number?

Drag to your team's monthly model spend. The presets reflect headroom's published range — 63% is what our own dashboard averages.

$2,000
saved per month $1,260
saved per year $15,120

Slipstream is free. The savings are yours. 60–95% is headroom's published range; your mileage depends on your context mix.

Nothing leaves your machine.

Slipstream is a local proxy on your own laptop. Your prompts, your code and your savings history stay in your user directory — the only network traffic is your agent's own calls to its model provider, minus the waste.

  • ✓ No account, no sign-in, no cloud
  • ✓ Stats stored in local SQLite, yours to delete
  • ✓ Telemetry surfaced honestly — one click off
  • ✓ Open-source core, Apache 2.0

Questions engineers ask.

Does compression change my agent's answers?

The goal is identical answers from less input. Headroom removes redundancy — repeated file reads, duplicate stack traces, boilerplate — not signal. It claims 60–95% token reduction with answer parity, and Slipstream shows you the per-request numbers so you can verify rather than trust.

Which agents are supported?

One-toggle wrapping for Claude Code, Codex, Cursor, Aider and GitHub Copilot. Any other OpenAI-compatible tool works by pointing its base URL at http://localhost:8787/v1.

Does Slipstream see my API keys?

Your agent keeps its own keys and its own provider connection. Slipstream runs a local pass-through proxy on your machine; requests go agent → localhost → provider. Nothing is routed through our servers, because there are no servers.

Do I need Python installed?

No. Slipstream bundles its own isolated runtime and a pinned headroom version, provisioned on first launch. It never touches an existing Python or headroom install.

What is headroom, and what do you add?

Headroom is the open-source (Apache 2.0) context-compression engine, 21k+ stars. Slipstream is an independent desktop companion: zero-setup install, live savings dashboard, agent wrapping, visual configuration, MCP install and a memory browser — no terminal, no JSON.

What does it cost?

Slipstream is free. It runs locally and pays for itself by definition — the dashboard tells you exactly how much, in dollars.

Stop overpaying for tokens.
Ship more, spend less.

macOS (Apple silicon) macOS (Intel) Windows Linux

v1.0 · macOS 13+, Windows 10+, most Linux distros · free