🗄️ KV Store

Key-Value Store for AI Agents

Persistent state between agent runs. No database config.

What it does

Give agents persistent storage they can read and write between invocations. Store conversation state, share data between agents, manage counters, and cache results. Simple REST API with TTL support — no Redis, no MongoDB, no database credentials.

Why agents need this

•Agents are stateless — every invocation starts from scratch with no memory
•Multi-agent workflows need to share data through a common store
•Rate limiting and quota tracking require persistent counters across agent runs
•Caching expensive API calls or LLM responses saves time and money

Get started in 30 seconds

One API call. No SDK. No configuration.

cURL

# Set a value
curl -X POST https://www.agent-utils.com/api/kv \
  -H "x-api-key: au_your_key" \
  -H "Content-Type: application/json" \
  -d '{"key": "user:123:preferences", "value": {"lang": "en", "tz": "UTC"}}'

# Get a value
curl https://www.agent-utils.com/api/kv/user:123:preferences \
  -H "x-api-key: au_your_key"

Python

import requests

headers = {"x-api-key": "au_your_key"}

# Set
requests.post("https://www.agent-utils.com/api/kv",
    headers=headers,
    json={"key": "counter", "value": 42},
)

# Get
resp = requests.get("https://www.agent-utils.com/api/kv/counter",
    headers=headers,
)
print(resp.json()["data"]["value"])  # 42

JavaScript

// Set
await fetch("https://www.agent-utils.com/api/kv", {
  method: "POST",
  headers: { "x-api-key": "au_your_key", "Content-Type": "application/json" },
  body: JSON.stringify({ key: "counter", value: 42 }),
});

// Get
const res = await fetch("https://www.agent-utils.com/api/kv/counter", {
  headers: { "x-api-key": "au_your_key" },
});
const { data } = await res.json();
console.log(data.value); // 42

Use cases

Conversation memory

Store user preferences and conversation history between agent sessions

Multi-agent coordination

Agent A writes results, Agent B reads them — no shared filesystem needed

Rate limit counters

Track API call counts across agent runs to stay within rate limits

Configuration cache

Cache frequently accessed config so agents do not re-fetch on every run

AgentUtils vs. alternatives

Traditional tools like Redis Cloud, Upstash KV, DynamoDB require SDK integration, credential management, and infrastructure setup. AgentUtils replaces all of that with a single HTTP call.

	AgentUtils	Alternatives
Setup time	30 seconds	Hours to days
SDK required	No (REST API)	Yes
Credentials to manage	1 API key	Multiple keys/tokens
Infrastructure	Zero-config	Provision + configure

Related tools

📋 Audit Log

Immutable agent action history.

⚡ Rate Limiter

Outbound API rate limiting.

📬 Dead Letter Queue

Catch, inspect, and retry failed agent tasks.

All AgentUtils tools

📎 Ephemeral File Host 📬 Dead Letter Queue 👤 Human-in-the-Loop 🛡️ Agent Shield 🔑 AgentVerify OTP 🔔 Notification Router 📋 Audit Log 🗄️ KV Store ⚡ Rate Limiter 📩 Webhook Inbox 📝 Agent Form

Start building for free

500 free API calls per month. No credit card required.

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