Create, customize, and deploy autonomous AI agents that understand Taglish, navigate local services like SSS & PhilHealth, and manage daily business operations with ease.
search_memory tool (Query: "SSS contribution table 2026")
Hello! Para sa mga Self-Employed o Voluntary members ngayong 2026, ang pinakamababang buwanang contribution ay nagsisimula sa ₱560 (para sa Monthly Salary Credit na ₱4,000).
Para naman magbayad gamit ang GCash:
Traditional AI often fails to understand local contexts. Kita Agents bridges the gap by focusing on everyday local workflows and native communication styles.
Automate customer replies, check product availability, draft shipping details, and explain payment options via GCash or Maya in standard Taglish. Perfect for local online sellers.
Answer complicated questions about SSS benefits, Pag-IBIG housing loans, PhilHealth contributions, and business permits. Helps your community navigate local agency processes without confusion.
Our agents are optimized to blend Tagalog and English naturally, adjusting their tone based on user input. No more rigid translations; talk to AI like you would to a neighbor.
Kita Agents is powered by two lightweight, open-source components working in perfect synchronization.
A modern, hyper-fast FastAPI backend designed to handle the brainpower of your agents.
A beautiful, responsive Next.js web application to build, configure, and monitor your AI agents.
Try out simulated, real-world examples of everyday Filipino agents in action. Select an assistant below to start the conversation.
Setting up Kita in your project is simple. Deploy the FastAPI service and configure agents using our intuitive JSON schema.
import httpx
# Define SSS Government Navigator Agent
agent_data = {
"name": "Kuya Dan - Gov Guide",
"system_prompt": "You are an assistant helping Filipinos navigate SSS and Pag-IBIG benefits. Answer in Taglish.",
"model": "gpt-4o-mini",
"tools": ["search_memory", "web_search"]
}
# Register agent via local kita-api
response = httpx.post("http://localhost:8000/agents/", json=agent_data)
agent = response.json()
print(f"Created Agent: {agent['id']}")
# Run chat session
chat_response = httpx.post(
f"http://localhost:8000/chat/{agent['id']}/message",
json={"message": "Paano mag-claim ng SSS sickness benefit?"}
)
print(chat_response.json()["response"])# Create agent with tools enabled
curl -X POST "http://localhost:8000/agents/" \
-H "Content-Type: application/json" \
-d '{
"name": "Ate Joyce - Negosyo Assistant",
"system_prompt": "Help local businesses write customer replies and explain GCash payments. Speak Taglish.",
"model": "gpt-4o-mini",
"tools": ["search_memory"]
}'
# Ask the agent a question
curl -X POST "http://localhost:8000/chat/agent-123/message" \
-H "Content-Type: application/json" \
-d '{
"message": "May umorder po, paano ko ipadala GCash QR?"
}'{
"id": "agent_sss_helper_01",
"name": "Kuya Dan",
"status": "active",
"temperature": 0.3,
"model_config": {
"provider": "openai",
"model_name": "gpt-4o-mini"
},
"knowledge_base": [
"sss_contribution_brackets_2026.pdf",
"pag_ibig_housing_loan_rates.txt"
]
}Have a question about Kita Agents or want to collaborate? Reach out through any of the channels below!
Let's discuss how we can build autonomous AI agents tailored for your business or local workflows.