Control room for AI coding agents

Your AI agents ship real work. You stay in control.

Hand a task to an AI agent from Slack, VS Code, JetBrains IDEs or the web — and get back reviewed, ready-to-ship work with full visibility into every step and every dollar spent. Set up in minutes, not weeks.

Task intake
Live run audit
Human approval
Artifacts
Knowledge
Cost visibility
Agentis
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Works where your team already works

Start a task from anywhere. Get a finished result everywhere.

No new tools to learn. Agentis plugs into Slack, VS Code, JetBrains IDEs and the browser your team uses every day — and turns ideas, bug reports and feedback into delivered work.

Web control room

Assign a task, watch the agent work in real time and get a finished, reviewable result — no babysitting required.

VS Code and JetBrains extensions

Your developers stay in VS Code or JetBrains IDEs. One click sends the file, selection and repo context straight to an agent.

Slack and browser intake

A customer complaint in Slack or a screenshot from your app becomes a tracked task in seconds — no copy-pasting.

Capture → context → run → review → learn

Stop babysitting prompts. Start shipping outcomes.

Agentis Code IDE

Prompts with active file, cursor, selection and working directory context. Fork of VS Code.

Slack and voice

Rough business intent becomes a structured task with an owner.

Agentis Core

Context, execution, questions, approvals, artifacts, cost, security and history for every AI run.

Browser context

Screenshots, URLs and annotations explain the product surface.

External agents

OpenCode, Claude Code and custom adapters run in controlled environments.

Delivery output

Artifacts, diffs, comments, exports and share pages survive the run.

Governance and visibility

Speed without the black box

Your team moves fast with agents — and you can still answer what changed, who approved it and what it cost, at any moment. That is what makes AI adoption safe enough to scale.

Full trail

Answer "who changed this and why" in seconds — every prompt, approval and decision in one timeline.

Any agent

Use Claude Code, OpenCode or your own agents. Switch anytime — your workflow and history stay.

Multi-team

Roll out to every team with isolated workspaces, access control and per-team cost visibility.

One outcome

Tasks never end as a chat log. They end as reviewed work you can ship and share with stakeholders.

Ship faster, safely

Agents follow your rules out of the box — approved models, environments and permissions, set once and enforced everywhere.

You always have the final say

Agents ask before risky steps. Approve from Slack or the web in one tap — nothing ships without your sign-off.

Know what AI really costs you

See spend per task, per team and per model in real time. No more surprise invoices at the end of the month.

Every task makes the next one cheaper

Finished work turns into release notes, decisions and reusable context your team and agents build on.

From idea to shipped work in five steps

A workflow so simple your whole team will actually use it

1

Capture

Describe what you need — in chat, Slack, VS Code, JetBrains IDEs or even a voice note. That is all it takes to start.

2

Context

Agentis automatically attaches the right project, repo, files and history. No prompt engineering needed.

3

Run

The right agent picks up the task and works while you do something else. Watch live or just wait for the ping.

4

Review

Check the diff, answer the agent’s questions, approve what ships. You stay in charge of every change.

5

Learn

Done tasks become release notes and reusable knowledge — so the next task starts smarter and finishes faster.

Who gets the most out of Agentis

Start with one team today. Scale to the whole company tomorrow.

CTOs and engineering leads

Give your team AI agents with confidence: full audit trail, security boundaries and predictable delivery from day one.

Product and support teams

Turn customer feedback into shipped fixes without waiting in the engineering backlog — and show customers results fast.

Agent-heavy startups

Move at startup speed with many agents and models — while costs, reviews and context stay firmly under control.

Human decisions stay in the loop

Approve work from your phone, between meetings

Start a task, answer the agent’s question, approve the change and get the “done” notification — all without leaving Slack or Telegram. Your agents keep working even when you step away.

Slack

Questions, approvals, notifications and results where the team is.

Telegram

Progress and decisions without another dashboard tab.

Enterprise control

Scale AI coding agents without losing control

Agentis turns prompt-to-code work into governed delivery: each task has an owner, runtime boundaries, approval points and a durable audit trail.

Audit trail for every AI run

Trace the prompt, project, agent, model, tool calls, diffs, approvals, artifacts and final output in one timeline.

Human approval gates

Agents can ask questions or request approval before risky steps, so humans keep ownership of what ships.

Reusable project knowledge

Finished work becomes verified notes, release context and decisions that future runs can reuse.

Runtime and credential isolation

Keep repositories, worktrees, provider keys and socket-based agent adapters inside infrastructure you control, including private networks behind firewalls.

Your first agent-delivered task is minutes away

Sign in, describe a task and watch an agent deliver reviewed, ready-to-ship work — with cost and history tracked from the very first run. No credit card, no setup project.