
Savine AI
Deploy AI agents like APIs. Runtime infrastructure handled.
Savine AI launched on March 20, 2026 with 8 votes, #1,340 of 23,380 launches that month and more than 90% of that year's launches.
What it does
Every AI agent team rebuilds the same infrastructure from scratch. Sandboxing. Retries. Observability. Multi-agent orchestration. Every. Single. Team. Savine makes that disappear. Deploy your agent → get a live API endpoint. We handle the runtime, loop detection, real-time streaming, cost tracking, and multi-agent pipelines. One command. One endpoint. No DevOps.100+ LLM models. Free to start.→ savine.in
Does a similar job
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Skrun – Deploy any agent skill as an APIApr 2026 · github.com · ▲62Deploy any Agent Skill as an API via POST /run. The open-source multi-model alternative to Claude Managed Agents, Microsoft Foundry & Mistral/Koyeb — works with any LLM. - skrun-dev/skrun

AgenMar 2026 · agenhq.com · ▲138AI changed the way we code, but we're still using the old processes, and we've become the bottleneck, the AI is waiting for us - to reply, to open our laptops, to review the code, and so on. We're building the future of AI software development. The agents are autonomous, they run in sandboxes, automatically fix the pipelines, and deliver you the final, working code. You can use live preview to see the changes they made. Working across multiple repositories, all within the same session. This is the future - you don't need an IDE, and you don't have to run anything locally.

RunAgent; Multi-Framework Agent Deployment and Rust,Go,JS SDKs(+others)2025 · github.com · ▲6RunAgent eliminates the complexity of AI agent deployment across different frameworks and languages. Today's developers face deployment nightmares with fragmented frameworks (LlamaIndex, LangChain, LangGraph, CrewAI, Letta, Agno, etc.) each requiring different deployment processes, creating unnecessary friction. The Solution: Like MCP (Model Context Protocol), RunAgent provides a standardized approach to agent deployment. Developers simply provide a config file and their agent code - RunAgent handles the rest with REST API and WebSocket (Streaming and non streaming). Our open-source platform…
Run AI Agents on your cloud infrastructure2025 · okteto.com · ▲12Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…
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