Ship faster with agents that remember everything
One main AI agent manages your whole project — breaking it into tasks, assigning work, and keeping everything moving. You stay in control.
The Problem
AI coding tools weren't built for
real engineering workflows
Context lost between sessions
Agents forget your codebase between runs. Tendril's project memory persists every decision, file, and dependency — so every session picks up exactly where you left off.
Babysitting agents one at a time
Waiting for one AI task to finish before starting the next slows everything down. Pro users can run as many AI agents as their hardware and API key allow — your main AI agent coordinates them so you don't have to.
Manual code review bottlenecks
Diffing agent output by hand slows everything down. Tendril gates every merge behind a review step you control — nothing lands without your explicit approval.
The Solution
How Tendril solves it
Project Memory (Pro)
Every file relationship, decision, and dependency is stored so agents always have context. Sessions resume right where you left off — not from a blank slate.
Multiple Agents Working Together (Pro)
Run agents in parallel on a single feature — as many as your machine and API key can handle. Your main AI agent breaks the work down, assigns agents, and reconciles results — without you babysitting each step.
Review Before Anything Merges
Your main AI agent manages all tasks and surfaces diffs for your review before anything merges. You stay in control — the agent does the coordination work.
Quality & Cost
Built-in quality checks that
save you money over time
Quality Audit Pipeline
Every subtask gets scored automatically after execution. If the score is below threshold, agents retry with targeted gap-fill instructions. A senior-level final review checks the whole project before you commit. No manual QA needed.
Costs Drop Every Session
The Knowledge Graph remembers your codebase structure, patterns, and past decisions. Each session skips more discovery work. Measured across 250+ real trials:
The Workflow
From repo to reviewed output —
without the chaos
Connect repo
Point Tendril at your codebase
Main AI agent scans your project
Project structure mapped and ready
Break into tasks
Your main AI agent breaks work into tasks
Agents execute
Run in parallel — limited by your hardware and API
Review diffs
You approve before anything merges
Merge
Clean, reviewed output lands in your branch
Project Memory (Pro)
Remembers your codebase across sessions
Parallel agents (Pro)
Parallel subtask execution
Bring Your Own API Key
Use your own Anthropic, OpenAI, or Google key
Review gates
Nothing merges without approval
Ready to stop context switching?
Install free, add your own API key, and start shipping with AI agents today.
Local-first · No telemetry · Bring your own API key