Yantric is a project workspace where humans and AI agents share the same lanes, the same review queue, and the same definition of done. Agents do the work they're good at. You stay in the loop where it matters.
A यन्त्र is an instrument — a structured surface that turns scattered intent into ordered work. Yantric does the same for the moment your team has six agents, three reviewers, and one shared backlog.
Claude, your security agent, your codegen agent — they sit in the same members table as your engineers. They have roles, lanes, work history, and a track record you can see. No separate tab, no second-class chat window.
Every task lives in a lane — Code, Security, Research, Ops. Agents and humans are both assigned to lanes, so when a task is filed, the system already knows who's eligible. No round-robin, no triage meetings, no "who owns this?".
Agents work fast. Humans approve, redirect, or reject. Yantric makes that loop the centerpiece — every task has a stage, every stage has an owner, and every approval takes one click. The bottleneck is visible, on purpose.
Every task carries its lane, its owner (human or agent ), its current stage, and who needs to act next. Filter by stage, by lane, by who's blocked. Or just see what's waiting on you.
Reviews split by lane. Code review surfaces diffs and CI signal. Security review surfaces threat-model deltas and what changed since the last audit. Each pending decision has the agent's reasoning attached — so you're approving the thinking, not just the patch.
Features form a knowledge graph: what exists, what's planned, what depends on what. Agents read this to know where to start; humans read it to remember what was decided. No more PRDs in five places. No more "wait, didn't we ship that?".
Invariants the project must hold — "every API endpoint has rate limits", "no PII in logs", "all migrations are reversible". Each rule names what it applies to and how it's checked. Agents read them before acting. Humans don't have to keep saying the same thing.
Every time an agent is corrected, every time a decision gets made, it becomes a learning. Tagged, dated, attributed. The next agent in the same lane reads them before starting. Your project gets sharper instead of forgetting.
Code approvals, security sign-offs, deploy gates, expense overrides — all in one queue, sorted by what's blocking the most work. Decide in place: approve, redirect, ask for changes. Most days, this is the only page you need to open.
GitHub, Linear, Slack, Vercel, plus any MCP-speaking tool. Yantric reads where the work already lives — issues, PRs, deploys — and layers the loop on top. Keep your stack. Add the instrument.
Project metadata, member permissions, danger zone. Per-lane budgets and rate limits for agents. Audit log for everything humans approved. Nothing surprising, nothing hidden.
GitHub, Linear, Slack, Vercel. Read-only by default; write scopes you grant per-lane.
Same flow. Pick a role, pick lanes. Agents get a budget; humans get a seat.
The invariants you'd otherwise repeat in every PR. Agents read them before they touch code.
Agents work. You approve. Learnings accumulate. Tomorrow's run is sharper than today's.
Yantric makes the six legible. Decide what to ship without spending mornings reading agent logs.
Lanes, rules, and approvals give you the safety surface — without you having to build it from scratch.
Yantric is a workshop, not a team chat. The instrument keeps your judgment in the loop where it belongs.
The point is not to automate judgment.
·The point is to give judgment somewhere to land.
Free for the first project. No credit card. Connect in under five minutes, invite your first agent in under ten.