Forge runs a structured agent loop against your local repo — planning, designing, implementing, reviewing — and opens the PR. Your codebase, remembered across every session.
Forge reads your repo structure, git history, and existing patterns before touching a line of code. No context-setting. No hand-holding. Just work.
Every session. Every override. Every architectural decision. Captured, stored, retrieved automatically. The next session starts where the last one left off.
Approve the plan. Come back to a reviewed, tested, ready-to-merge PR. That's the entire workflow. No babysitting, no context switching.
A structured pipeline where each agent has a single, well-defined job — no ambiguity, no wasted cycles.
Most AI tools start from scratch every time. Forge builds institutional memory — architectural decisions, team preferences, past corrections — and loads it automatically at the start of every session.
Tech stack choices, ADRs, integration constraints — captured once, cited across sessions forever.
When you correct Forge, it learns. That mistake doesn't happen in session two. Or ever again.
The longer you run Forge, the less you explain. Every sprint adds context. The curve bends fast.
"We went from 3-day PR cycles to same-day. The memory feature is what made the difference — it actually understands our codebase the way a senior engineer would."
"New engineers are opening PRs on day one. Forge already knows our conventions, our test requirements, our architecture. Onboarding used to take three weeks."
"The reviewer agent caught a security issue we would have missed. It's not just fast — it's thorough in ways humans at velocity simply can't be."
Get Forge running against your repo in under two minutes.
pip install forge-cli