Agentic Engineering
that actually scales
Run Claude Code, Codex, Gemini and any other CLI Agents in parallel with upto 86% fewer tokens and 92% fewer tool calls
Open Tempest. Start a session in 3 steps.
Download Tempest
Install the desktop app in seconds on Windows, macOS, or Linux.
Open your repo
Point Tempest at any git repository. Sessions get their own isolated worktrees automatically — no manual branching.
Run agents in parallel
Pick your tool — Claude Code, Codex, Gemini, or any other. Launch multiple sessions and watch them work at once.
More windows don't give you more isolation. They give you more chaos.
Shared knowledge base. Every agent on its own branch — nothing steps on anything else. Run five in parallel without confusion.
Total isolation
A git worktree per session keeps every agent on its own branch, and Hephaestus wraps each process in an OS-level sandbox — Job Objects on Windows, sandbox-exec on macOS, bubblewrap on Linux. Nothing escapes.
Token intelligence
A local code-knowledge graph lives on your machine and is shared across every session. Agents pull from it instead of scanning files on their own — up to 86% less context, up to 92% fewer tool calls.
Continuity anywhere
Kick off a session on your desktop and pick it up on your phone. The mobile app streams the same agents live, so you review, reply, and ship from wherever you are.
Twelve capabilities. One workspace.
Tempest is a full agentic engineering platform, not a wrapper. Every feature ships in the same binary, works offline, and stays out of your way.
One window
Claude Code, Codex, Aider, Gemini — every CLI agent running side by side, no window swapping.
Parallel worktrees
Every session gets its own git worktree and branch. Agents never touch each other's files.
Threads
Drop chats, files, and notes onto a canvas. Feed each agent exactly the context it needs.
Diff, commit, PR
Review every change in a live diff viewer. Stage, commit, push, and open a PR without leaving Tempest.
Real terminal
ANSI color, in-session search, clickable links — a full PTY in every session.
Live preview
Watch your dev server update in real time as agents change code.
Live status
See the instant each agent finishes a turn. No tab-watching, no babysitting.
Full history
Close a tab and reopen it later. Each agent resumes exactly where it left off.
Token intelligence
A local knowledge graph shared across sessions — 86% token efficiency, 92% fewer tool calls.
Database branches
An isolated Postgres instance per agent. Parallel runs never corrupt each other's data.
Hephaestus sandbox
OS-level process isolation on every platform. Job Objects, sandbox-exec, bubblewrap.
Native, not Electron
Tauri 2 on Windows, macOS, and Linux. Boots fast, stays cool, feels like the OS.
Six alternatives. One actually cares about token costs.
Everyone else runs agents. Tempest is built for agentic engineering at scale — shared knowledge graph, database branches, OS-level sandbox.
Same problem. Four different budgets for it.
One binary, one price (zero), four shapes of team. If you run agents more than once a week, Tempest is built for you.
Solo developers
You run three agents on a side project after dinner. You want fewer merge conflicts, a lower API bill, and one window instead of nine.
Startup teams
You are shipping five features a week with a team of four. Every dev runs parallel agents. Token spend is a real line item.
Agencies & consultancies
You touch a dozen client repos a month. You need isolation you can trust, on Windows and macOS, without a per-seat subscription eating your margin.
Enterprise
Your code cannot leave the machine, your agents cannot corrupt each other, and your compliance team has already said no to cloud. Tempest is on-machine and sandboxed.
Notes from the loop. Written by people who ship with agents.
AI Agent Boundary Violations: Why Agents Guess When Instructions Leave Gaps
Research shows most AI agent runs violate at least one scope boundary when instructions are underspecified. The fix is not stronger guardrails — it is a clearer specification.
Comprehension Debt: The AI Code Review Problem Teams Aren't Measuring
Comprehension debt — reviewing AI-generated code faster than you understand it — is accumulating silently in engineering teams. Here is what the research shows and how to slow it down.
Context Rot: Why Your AI Agent Gets Worse the Longer It Runs
Context rot is what happens when a long AI coding session fills with failed exploration and the agent stops taking new direction. Here is why it happens and how to clear it.
Questions we get a lot. Answers in one line.
Anything missing? File it on GitHub — we'll add it here.
Yes. Apache 2.0, open source. The only cost is the model API you already have — and Token Intelligence cuts that by up to 86%.
Run your first agent in under two minutes.
Apache 2.0. Windows, macOS, Linux.