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AI agent platform

Hand over the work. Review the result.

Research a topic, prepare documents and hand recurring tasks to AI agents. Set the goal and approve important actions. Start free — no credit card.

The Плямки of Snaga

Tablet

Turns your ideas into something you can share.

Your notesA document to review
  1. Describe the result

    Tell your agent what you need. Add your notes, files and any constraints.

  2. Hand over the task

    Work in a conversation. Answer questions and connect tools only when the task needs them.

  3. Review and improve

    Check sources and the draft. Ask for changes before using or sharing the result.

What will you hand over first?

Start with a small task and a result you can check. Here are three ways to put Snaga to work.

  1. Research

    Compare options before making a decision. Name the products or topic and the criteria that matter to you. Ask for a comparison table with source links, then check the evidence and request any missing details.

    • Comparison table
    • Source links
    • Follow-up questions
    Start free: Research
  2. Documents

    Turn your notes into a document you can use. Provide the key points, audience and desired format. Ask for a draft and a Word document, then refine the wording in the same conversation before sharing it.

    • Reviewable draft
    • Word document
    • Revisions in chat
    Start free: Documents
  3. Recurring work

    Keep up with a topic without repeating the same request. First check a sample summary. Then set the topic, sources and schedule for future updates, delivered through notifications. Review the results and adjust the task as your needs change.

    • A sample first
    • Scheduled summaries
    • Notifications
    Start free: Recurring work

Start free. Choose a plan for your work.

Each plan includes a monthly allowance for agent work. Choose by your workload; extra usage, where available, requires a spending cap.

Free

Try your first tasks. No card required.

$0
Tokens per month
2,700,000
Included tokens per day
90,000
Start free

No credit card · choose your first task

  • 2 agents + 1 team — real orchestration, free
  • 300 runs a month — enough to actually use it
  • AI usage included — no separate model bill
  • Files and conversations in one workspace
Resets and extra usage
  • 90,000 tokens a day — resets at 00:00 UTC, unused do not roll over
  • Past the limit: runs wait until the next reset
  • 2 runs at a time
  • Your monthly allowance comes back on the 1st at 00:00 UTC

Starter

For individual work and regular tasks.

$20/mo
Tokens per month
22,500,000
Included tokens per day
750,000
Start with Starter

Cancel anytime · 14-day refund

  • 3 agents + 1 team for delegation
  • 3,000 runs a month for regular work
  • 3 knowledge bases for retrieval grounding
  • 5 MCP servers for integrations
  • AI usage included — no separate model bill
  • Email support, 1 business day response
  • Audit log for every tool call
Resets and extra usage
  • 750,000 tokens a day — resets at 00:00 UTC, unused do not roll over
  • Extra usage at $0.42 in / $1.68 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
  • Runs go to the front of the queue
  • 4 runs at a time
  • Your monthly allowance comes back on the 1st at 00:00 UTC

Pro

For team work

For larger workloads and teams.

$99/mo
Tokens per month
100,000,000
Included tokens per day
3,333,333
Go Pro

Cancel anytime · 14-day refund

  • 20 agents, 5 teams, hierarchical delegation
  • 15,000 runs a month — production volume
  • 10 knowledge bases + workspace versioning
  • 20 MCP servers + custom integrations
  • Governance: rules, votes, vetoes, ambassadors
  • Slack support + priority bug-fix lane
  • Custom domain + branded share pages
Resets and extra usage
  • 3,333,333 tokens a day — resets at 00:00 UTC, unused do not roll over
  • Extra usage at $0.42 in / $1.68 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
  • Runs go to the front of the queue
  • 10 runs at a time
  • Your monthly allowance comes back on the 1st at 00:00 UTC

Enterprise

For teams running fleets in regulated environments.

$1,999/mo
Tokens per month
2,000,000,000
Included tokens per day
No separate daily limit
Contact sales

Billed monthly · Bring-your-own-cloud option

  • Fleet-scale: 200 agents, 40 teams, more on request
  • Roles and per-tenant scoping, dedicated security review
  • Dedicated VPC, custom egress allowlist
  • Compliance: AI System Card, FRIA report, audit export
  • Engineering Slack channel, named CSM
  • Monthly service review with named contacts
Resets and extra usage
  • Extra usage at $0.42 in / $1.68 out per 1M tokens requires a spending cap you set. Work pauses when that cap is reached.
  • Runs go to the front of the queue
  • 50 runs at a time
  • Your monthly allowance comes back on the 1st at 00:00 UTC

What does this allowance cover?

Tokens measure the text a model reads and writes, including the context it uses. Longer tasks and repeated steps use more. A token allowance does not guarantee a fixed number of finished tasks.

Where a daily limit is listed, it applies alongside the monthly allowance. Unused daily tokens do not carry over, so the full monthly amount cannot be spent in one day.

Compare what is included

Limits apply together. A run is a task execution; its token usage depends on the model, the context and the work it does.

Scroll sideways to compare all plans.

Compare what is included
Included workFreeStarterProEnterprise
Tokens per month2,700,00022,500,000100,000,0002,000,000,000
Included tokens per day90,000750,0003,333,333No separate daily limit
Runs per month3003,00015,000200,000
Runs at the same time241050
Agents2320200
Teams11540
Images per month1006005005,000

All plans include the full Snaga runtime · Limits, not feature gates · Cancel anytime

Live · talk to an agent

Talk to an agent that works.

Meet a public guide on the real Snaga platform. Ask how to approach your task or which plan fits. Your own files and work belong in your private workspace.

Work stays under your control

Clear context, the tools you need and a result you can review.

You set the rules

Choose what an agent may access and which important actions need your approval.

Tools you choose

Connect the services needed for your task. The connector catalog shows what is available on this platform.

Context for the work

Add notes, documents and reference materials so your agent has the information it needs.

A conversation you can continue

Follow the work in your chat, ask questions and refine the result without starting over.

Visible usage and limits

Review usage in your workspace. Plan allowances and extra usage rules are shown in the pricing section.

Cloud or your own infrastructure

Use the hosted product, or deploy the open-source platform with your own provider configuration.

Build on it

How a team compares

Three ways to put agents to work: buy a team that ships assembled, call one vendor's assistant API, or build it on a framework. The right answer depends on what you are willing to own.

CapabilitySnagaAssistant APIBuild it yourself
Every action that leaves the sandbox waits for a person, and the gate fails closedHow approvals workyours to build
Multi-tenant API with roles, so a workspace is scoped from the first requestone tenantyours to build
Web, iOS and Android apps, and a browser — the same team on every surfaceThe app
MCP in both directions: your agents consume tools, and are reachable as oneWhat it connects toconsume onlyconsume only
Spend caps per agent and per workspace, metered through Stripeyours to build
Per-connector consent and the narrowest scope that works, with the live list published rather than assertedThe listyours to build
Runs on your own machine, in your repo, with your toolchainSnaga Code
Self-host the whole platform inside your own perimeter

Where the other two are ahead

A table where one column is all ticks is an advertisement, not a comparison. These are the reasons to not pick Snaga, written by the people who would rather you picked it.

  • A framework will bend further

    Any model, any topology, any component swapped for your own. Snaga ships an opinion about how a team should work — the approval gate, the plan-build-verify loop, the sandbox — and you live inside it. If your design fights that opinion, the framework is the honest choice.

  • A large vendor has the compliance file

    We hold no SOC 2 report and no ISO certificate today, and we say so on the security page rather than in a footnote. If procurement needs one on the desk this quarter, that is a real reason and not a negotiable one.

    What we do and do not claim
  • One agent in one app does not need a platform

    If what you want is a single assistant inside a product you already run, an SDK is less to adopt and less to keep running. A platform earns its cost when there are several agents, several people approving their work, and a bill somebody has to explain.

Build on it

Everything the product does, the API does. Five client libraries, generated from one OpenAPI document.

The same operations, models and event streams exist in every language — they are generated from the document the API itself is validated against, not written by hand alongside it.

557
operations
603
typed models
11
event streams
  • TypeScript / Nodeuarp-sdknpm
  • Rustuarp-sdkcrates.io
  • SwiftSnaga-AI/uarp-swiftSwiftPM
  • Kotlin / Androidai.snaga:uarp-sdkMaven Central

One document, five languages

If an endpoint exists in one SDK it exists in all of them, because a generator put it there. No language is a second-class port.

Retries and idempotency built in

Every mutating call carries an idempotency key, which is what makes it safe to retry. Transient failures back off with full jitter and honour Retry-After.

Streams that reconnect

Eleven SSE endpoints resume with Last-Event-ID after a dropped connection, with a reconnect budget so a flapping server cannot spin the loop.

Typed errors, not strings

Failures arrive as RFC 9457 problem documents and decode into typed errors carrying the status, the detail and any field-level validation failures.

FAQ

How to get started, what is free, and how your work stays under your control.

Create a free account and open your agent. Choose an example or describe what you need, the information it should use, and the result you expect. Review the draft before sending it. Start with one small task, check the result, then ask for changes in the same conversation.