KovaServeKovaServe
The Agentic Inference Cloud

One API. Durable agentic runs.

Inference, runtime, state, and recovery bundled as one serverless platform. Call one endpoint and get a durable agentic run, not just a completion.

Shipping today on managed + self-hosted · OpenAI-compatible
Same task · same tokens · same pacingstep 0 / 20
Generic OpenAI path
~cost
$0.000of $0.840
KovaServe
~cost
$0.000of $0.466
Running…-$0.000
One

Inference

OpenAI-compatible endpoint. Cache-aware routing across your GPU fleet means every call lands on the GPU that already holds its context.

Two

Runtime

Bring LangGraph, Temporal, or a custom loop. Or use ours. Every call belongs to a durable run that spans steps, tools, and model calls.

Three

State

Every run is replayable. Real cost, real tokens, full timeline. Audit, attribute, or debug with one API call. No log-grep.

Four

Recovery

Crash → resume in under 5 seconds on the same warm GPU. Budgets hard-stop runaway loops at the inference boundary.

A new category

One API. Four things, bundled.

Inference engines give you tokens. Agent frameworks give you Python. The Agentic Inference Cloud gives you a durable agentic run, inference, runtime, state, and recovery in one call.

Agent FrameworksOrchestration, retries, tool loops
LangGraphCrewAIGoogle ADKOpenAI SDK
Workflow EnginesDurable execution
TemporalPrefectDagster
Assemble it yourself
Inference PlatformsServing + scheduling
RayModalBentoMLReplicate
Inference EnginesThroughput, KV cache
vLLMSGLangTensorRT-LLMTGI
Hardware & GPU CloudsThe physical tier
NVIDIAAWSAzureCoreWeaveCrusoe

A serverless cloud you call, not a layer you assemble. Parallel to inference APIs and agent frameworks, not sandwiched between them.

The bundle

One API. Inference + Runtime + State + Recovery.

Four capabilities that every team building production AI currently assembles from four separate services. Call the Agentic Inference Cloud once and get all four, bundled.

Live now

Inference

OpenAI-compatible endpoint with cache-aware routing. Every call lands on the GPU that already holds its context. Warm KV cache, not cold prefill.

Live now

Runtime

Bring LangGraph, Temporal, or a custom loop, or use ours. Either way, every call belongs to a durable run that spans steps, tools, and model calls.

Coming Q3 2026

State

Every run is replayable. Real per-run cost, real token counts, full execution timeline. Audit, attribute, or debug with one API call. No log-grep.

Coming Q3 2026

Recovery

Crash, restart, resume in under 5 seconds on the same GPU. Hard budget caps per run, project, or tenant, so runaway loops hit 429 at the inference boundary.

Hit cache. Save money.

Run the same 40-step agent task against a warm KV cache. Watch the dollars add up.

Try it in playground →
Steps complete
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Workloads

Four shapes of traffic. One cloud.

Every workload calls the same Agentic Inference Cloud. What changes is which pieces of the bundle you lean on. Each page below shows the setup, the defaults, and what's shipping today vs. on the roadmap.

Runtime mode

Use your runtime. Or use ours.

Either way, you're calling the same Agentic Inference Cloud.

Bring LangGraph, Temporal, a custom loop, or anything that speaks OpenAI. Or use the KovaServe runtime for coding, terminal, and tool-heavy agents. Same API, same bundle: inference + runtime + state + recovery.

  • Every model call becomes a durable agentic run
  • Cache-aware routing: warm GPU every step, no cold prefill
  • Checkpoint-aware resume: crash at step 47, resume at step 47
  • Budget-enforced halts: hard caps per run, project, or tenant
  • One-line base_url swap on an OpenAI-compatible wire format
Agent frameworks
LangGraphLangGraph
LlamaIndexLlamaIndex
OpenAI SDKOpenAI SDK
CrewAICrewAI
Google ADKGoogle ADK
Workflow engines
Temporal
PrefectPrefect
DagsterDagster
…or your own custom orchestrator. Anything that speaks POST /v1/chat/completions.
Before / after

Stop patching around the problems. Ship the primitives.

Without KovaServe

  • Agent crashes → user loses 25 minutes
  • "What did the agent do?" → grep CloudWatch
  • Runaway loop → $500 surprise on the bill
  • Every step hits a cold GPU
  • Cost per task = your best guess
  • "Pause this" = wishful thinking

With KovaServe

  • Agent crashes → resume in under 5 seconds
  • "What did the agent do?" → one API call
  • Runaway loop → hard-stopped at your cap
  • Every step lands on the warm GPU
  • Cost per task = a measured number
  • "Pause this" = actually pauses
How you start

Three steps. Most teams ship within the hour.

1

Sign up

Create a free account. Credit card, no sales call.

2

Change your base URL

One-line swap in any OpenAI-compatible client. You're now calling the Agentic Inference Cloud.

python
base_url = "https://api.kovaserve.ai/v1"
3

Ship

Every call is now a durable run. Inference, runtime, state, and recovery, bundled. Cache savings and cost attribution come automatically.

Proof

Built on real infrastructure.

Every number on this site traces to a real evaluation against the real deployed system. No synthetic benchmarks.

100%
token accuracy
0.87
cache hit score on warm routes
<5s
warm resume from checkpoint
0
mocks in our evals

Stop assembling inference, runtime, state, and recovery yourself.

Call the Agentic Inference Cloud instead.

Design partner program open. 5 slots this quarter.