Daita provides the essential infrastructure for deploying AI agents at scale.
Daita provides the essential infrastructure for deploying AI agents at scale. Reduce costs with intelligent token filtering, debug with automatic observability, and deploy to production with a single command.
Reduce token usage by up to 90%
Intelligently filter data before it reaches the LLM
Specify which columns or fields your agent needs
Automatically strip unnecessary information
Automatic tracing of every LLM call, tool invocation, and database query
Monitor token usage and inspect reasoning chains
Debug production agents with full context
No instrumentation required
Deploy to production with one command
Daita handles infrastructure and auto-scaling
Cloud deployment to AWS Lambda
From development to production in minutes
Build AI agents locally for free. Python SDK with tool-calling, streaming, and auto-tracing.
PostgreSQL, MySQL, MongoDB, Snowflake, S3, Slack, Elasticsearch. Ready-to-use integrations.
Deploy agents as webhooks or scheduled cron jobs. HTTP endpoints with built-in infrastructure.
See how Daita makes building AI agents simple and powerful
Features
Data Agents
Query with natural language
Focus System
Reduce token costs by 90%
Auto Observability
Zero-config tracing and monitoring
One-Command Deploy
Push to Lambda instantly
Multi-Agent Systems
Coordinate multiple agents
Python
from daita import SubstrateAgent
from daita.plugins import PostgreSQLPlugin
db = PostgreSQLPlugin(host="localhost", database="mydb")
agent = SubstrateAgent(name="Data Agent", tools=[db])
await agent.start()
result = await agent.run("Show me all users")Keep up to date with the latest Daita news, tutorials, and updates.
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