Aivene
Build AI Agents
Without the infra
Build and deploy agents without infra.
Full control over tools and routing built in.Ship production agents in days on your stack or ours.
Full control over tools and routing built in.
Support agent/ live
⌘KAGENT RUN
Check the latest release notes and summarize what shipped.
web_searchscanned 4 sources
Shipped this week: streaming tool calls, three new models, and roughly 30% lower p95 latency.
running on
gemini-2.5-flash
gemini-2.5-flashMODEL
TOOLS
gpt-5$1.25 / $10
claude-opus-4.5$5 / $25
gemini-2.5-flash$0.30 / $2.50
llama-4-maverick$0.20 / $0.60
Web Search
Code Interpreter
MCP servers · 2
Compose in minutes
Pick a model, add tools, and wire in your data. Your agent is ready to run.
Test in the playground
Try your agent against any model in the Console before you ship a line of code.
Any model, swappable
Move an agent between GPT, Claude, and Gemini without touching its logic.
Your agents, every model
Run the same agent on the models you already trust.
No rewrites, no juggling keys, SDKs, or response shapes.
No rewrites, no juggling keys, SDKs, or response shapes.
OpenAI
Anthropic
Google
DeepSeek
Kimi
MiniMax
xAI
Alibaba
Everything your agents need to run
Models, tools, deployment, and observability in one runtime
so you ship agent behavior, not infrastructure.
so you ship agent behavior, not infrastructure.
Any model, hot-swappable
Run the same agent on GPT, Claude, or Gemini. Change one string and keep all your logic.
POST/v1/agents
import { agents } from "aivene"
const response = await agents.run("support-agent", {
input: "How do I reset my password?"
})
Compose your agent
Pick a model, attach tools, and wire in your data and channels - no flow charts to maintain.
Support agentagent_42
live
MODEL
claude-opus-4.5swapTOOLS3 enabled
Web Search
Code
get_order
+ add toolINSTRUCTIONSeditable
You are a support agent for Acme. Be concise, cite the order when relevant, and escalate refunds over $500.
Tools, MCP & connectors
Web search, code execution, MCP servers, and your own functions, ready for agents.
Built-in
Standalone
Web Searchweb_search
$10 / 1KImage Generationimage_gen
$0.04 / imageCode Interpretercode_exec
$0.03 / runMCP Servermcp
FreeTextImageAudioVideo
Test in the playground
Try your agent against any model right in the Console before you ship a line of code.
Explain MCP in one sentence.
MCP lets models call your tools and data through one open protocol - no custom glue per integration.
Ask anything…
Trace every run
Inspect each step, tool call, and token. Filter by agent, key, or date with full visibility.
Total spend
Last 30 days
$1,284.50↑ 12.4%
Requests48.2K
Input tok8.1M
Output tok4.3M
Reliable by default
Automatic retries and provider failover keep your agents running when an upstream has a bad day.
POST/v1/agents
routing
OpenAI
primary
retry ×1503
failover
Azure OpenAI
fallback
512ms200
Delivered · no error surfaced
99.99% uptimeFocus on behavior, not plumbing
Memory, tools, and guardrails come included.
Wire up an agent and deploy it in an afternoon.
Wire up an agent and deploy it in an afternoon.
Swap models freely
Move an agent between GPT, Claude, and Gemini
by changing a single model string.
Guardrails per agent
Set per-key budgets and rate limits so a
runaway loop never burns your balance.
Tools & MCP, built in
Wire in web search, code execution, and
MCP servers without standing up infrastructure.
Models500+ models across every provider
Search models…
All
Chat
Image
Audio
MODELCONTEXTINPUTOUTPUT
Spend limitsBudgets & rate limits per key
Resets in 12 days$1,284of $2,000 monthly
64%Productionisk-••••a91f
600 rpm$840 / $1,000
Stagingisk-••••3c7d
200 rpm$320 / $600
Devisk-••••f042
60 rpm$124 / $400
Tools & MCPWire in tools without extra infrastructure
BUILT-IN TOOLS
Web Searchweb_search
Code Interpretercode_exec
Image Generationimage_gen
File Searchfile_search
MCP SERVERS2 connected
github-mcpmcp.github.com/sse
12 toolsnotion-mcpmcp.notion.so/sse
8 toolsAdd MCP server
Frequently Asked Questions
Everything you need to know about building,
deploying, models, and billing.
deploying, models, and billing.
Aivene is a platform where you build and deploy agents without managing infrastructure. Configure your agent in the Console, pick any model, and we handle storage, execution, and scaling. Your agent becomes an API endpoint you can call from anywhere. A support agent or document workflow can be live in minutes.
A router just forwards your request to a provider. Aivene is the runtime around it: compose an agent from a model plus tools, ship it behind an API or your own app, and trace every run - on any model, not just one.
No. Aivene speaks the OpenAI API, so your existing SDK and agent frameworks work by changing the baseURL and key. Moving an agent between GPT, Claude, and Gemini is usually a one-line change.
Configure your agent in the Console: pick a model, attach tools like web search or code execution, and point it at your data. Hit deploy and you get an API endpoint. A support agent handling tickets or a workflow processing documents can be live and callable in minutes. No servers to set up.
Hundreds across providers like OpenAI, Anthropic, Google, Meta, Mistral, and DeepSeek, spanning text, images, embeddings, speech, transcription, and video. Run the same agent on any of them and browse live pricing in the Console.
You pay for what you use - per token by model, plus usage-based pricing for tools and sandbox runs. Set a spend limit on each key and requests stop with a 402 before a runaway loop costs you. Top up credits and track every run in the Console.
Ship an agent in minutes
Configure your agent, pick a model, and get a live API endpoint.
No servers to spin up, no infra to manage.
No servers to spin up, no infra to manage.
Aivene
Build AI agents without the infra