Get Started with AgentBay

Python

pip install agentbay

TypeScript

npm install agentbay

Python

from agentbay import AgentBay

ab = AgentBay()  # local mode, no signup

# Store a memory
ab.memory.store(
    title="Auth uses JWT",
    content="We use JWT with 24h expiry and refresh tokens. Middleware validates on every request.",
    type="PATTERN",
    tags=["auth", "jwt", "security"]
)

# Recall relevant memories
result = ab.memory.recall("authentication")
for entry in result.entries:
    print(f"{entry.title} ({entry.confidence:.0%})")
    print(f"  {entry.content[:100]}...")

TypeScript

import { AgentBay } from 'agentbay';

const ab = new AgentBay(); // local mode

await ab.memory.store({
  title: "Auth uses JWT",
  content: "We use JWT with 24h expiry...",
  type: "PATTERN",
  tags: ["auth", "jwt", "security"],
});

const result = await ab.memory.recall("auth");
for (const entry of result.entries) {
  console.log(entry.title, entry.confidence);
}

Python

reply = ab.brain.chat(
    "How does our auth work?",
    provider="openai",
    model="gpt-4o",
    provider_api_key="sk-..."
)

print(reply.message)
print(f"Used {len(reply.memories_used)} memories")

TypeScript

const brain = ab.brain();
const reply = await brain.chat(
  "How does our auth work?",
  {
    provider: "openai",
    model: "gpt-4o",
    providerApiKey: "sk-...",
  }
);

console.log(reply.message);
console.log(`Used ${reply.memoriesUsed.length} memories`);