Founding pricing · first 200 Pro seats · $19/mo

The coding environment for devs running serious multi-agent workloads.

While other tools give you one agent in a chat window, Tendril gives you a kanban of parallel agents with shared memory, structured handoffs, and audit review — the way real engineering teams actually ship.

Local-first No telemetryBring your own API key
Sped up 3.5× · real kanban, real agents
Four sub-agents executing the same project in parallel. Each card is a task with its own scope and acceptance criteria. The audit pipeline reviews completed work before commit.
120-trial study · Opus 4.7 · April 2026

On hard coding tasks, Tendril scored 8× higher than cold Opus 4.7.

We picked three coding tasks — easy, medium, and hard. We ran each one 40 times. Same fixture, same model. On the easy one (basic CRUD), cold Opus and Tendril tied. On the medium one (password reset with edge cases), iteration helped both. On the hard one (pagination with input validation), cold Opus scored 10 out of 100. Tendril scored 80. That's not a typo. The harder the work, the bigger the gap.

quality gap on the hard task
80 / 10
Tendril vs cold Opus on pagination
120
total trials, all numbers public

What makes Tendril Tendril.

Most AI coding tools drop a diff and leave you alt-tabbing between IDE, browser, screenshot tool, GitHub, and a chat window — with the AI asking you for confirmation every 30 seconds. Tendril replaces that with an environment that actually ships, and stays out of your way while it does.

Knowledge Graph that compounds
Tendril remembers architectural decisions, patterns, and mistakes across every project. The fifth project starts smarter than the first — without you re-explaining anything.
Parallel agents in isolated worktrees
A master agent plans the work, parallel sub-agents execute different files at the same time. Each in its own git sandbox so they never step on each other.
In the loop, not in the way
Review the plan once, watch the work, ship when it’s done. Tendril doesn’t ask you to confirm every sub-decision — the audit pipeline catches what you would have caught.
Annotate the live preview
Your app renders inside Tendril. Draw a circle around what looks wrong, type one sentence, send. The fix lands as a card on the same kanban — the fastest “this looks wrong” → “this is fixed” loop in any AI dev tool.
Clickable improvement suggestions
Every finished project ends with a senior-level review and a list of fixes — “extract this helper”, “add input validation”. Click one, an agent does the work. No copy-paste, no follow-up prompts.
GitHub built in
Connect your repo, agents branch, push, open the PR — all from the kanban. No GitHub Desktop, no gh CLI.
MCP-compatible
Plug in any MCP server — Playwright, Sequential Thinking, your own tools — and every agent gets access. The MCP ecosystem is yours, not gated.
Local-first, BYOK
Your code never leaves your machine. Bring your own API key (Anthropic, OpenAI, Google) or pass through a Claude Code subscription — no markup, no compute middleman.

Three modes. You pick. Or Tendy picks for you.

Easy work, medium work, hard work — they shouldn't all run the same pipeline. So they don't.

Simple
Just do it.

Typo fix. Config change. Add an import. Tendy edits the file directly. No planning, no audit — that would be overkill. Card lands on the kanban so you can review and commit.

Medium
Plan, build, audit, retry.

New endpoint with a schema change. Focused refactor. Visual polish across pages. Tendril proposes a plan you can review and edit, then one capable agent works the whole plan and audits its own output. Up to 3 passes until it passes.

Ready to ship?

Free forever with your own API key. No credit card. About 15 to 25 pipeline runs a month at the cap. Try Tendril on a real project and see what 80 vs 10 means in your codebase.

macOS & Windows · Linux AppImage soon · Local-first, your code never leaves your machine