The data infrastructure layer AI agents actually need
Give agents tools for secure, real-time access to fetch, search, write, and replicate data across every system, with entity mapping and auth built-in.
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Power the most demanding agents
Authenticate once, then fetch and search in real-time.
End-to-end capabilities to power the most demanding agents
Complete data infrastructure for agents. Authenticate once, then read, write, search, and sync across every system.
Built-in authentication and governance
Connect agents to any system without managing OAuth flows, API keys, or token refresh. Centralized auth and access controls work across all our connectors out of the box.
Search globally, including unstructured data
Full replication puts all operational data in one place. Agents discover what's available, map entity relationships, and search across systems, even those without native search APIs or unstructured content like contracts and PDFs.
Fetch data in real time
Pull fresh information from any source the moment agents need it. Direct API access means agents get current data without waiting for batch syncs or stale caches.
Embed our widget for your external agents
Integrate our JS once, and let your users connect their tools through our white-label embeddable widget, and empower your agentic product with full access to their data in a secure way.
How it works
Built on the open standard
Airbyte built the open-source standard for data replication, connecting databases, APIs, warehouses, and SaaS apps. Trusted by 7,000+ companies syncing 26B records daily. Now we're bringing that same proven infrastructure to AI agents.
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The future of agent data infrastructure
We're building the data layer for AI agents that handles both data operations and actions. Fast multi-source queries, entity-aware context, and real-time sync. With built-in auth, permissions, and governance. Stay tuned!
Fast, global queries
Query across all systems in milliseconds. Search within unstructured data too, with your data fully replicated and indexed.
Entity-aware context
Agents understand how records relate across your systems. Entity mapping built in, not raw schemas.
Real-time sync
Keep data current across all sources. Agents always work with fresh data, not stale snapshots.
Built-in auth & governance
User-level permissions, authentication, and audit logs built in. Production-ready security from day one.
Deploy anywhere
Pre-built MCP servers or native SDKs. Works with any agent framework or orchestration tool.
Battle tested at scale
Add tools and scale agents without performance degradation. Built for production workloads.
Releasing new agent-ready connectors weekly
With real-time fetch, data replication, and tool actions out of the box. Databases, APIs, SaaS apps, data warehouses - if your agents need it, we will connect to it.
Github
Salesforce
Gong
Zendesk
Github
HubSpot
Salesforce
Gong
Stripe
Greenhouse
Jira
Asana
Stripe
Linear
Greenhouse
Jira
Engineered for production, not prototypes
Our connectors are engineered to run at scale. These aren't fragile API wrappers, but fully managed builds with real authentication flows, rate-limit intelligence, schema evolution, and automatic recovery.
Building the future of Agent Data Infrastructure
Join the private beta to be amongst the first to access our new agent platform. We ship new connectors and features weekly.
FAQs
Didn't find your answer? Please don't hesitate to reach out.
What are agent connectors?
Agent Connectors are open-source Python SDKs that give AI agents strongly typed, well-documented access to enterprise systems. They're purpose-built for agent operations (fetch, search, write, and discovery in real-time) and work as standalone packages or plug into any agent framework.
How are they different from the Airbyte replication connectors?
Agent Connectors are Python SDKs designed for real-time agent operations (fetch, search, discover), while replication connectors are built for batch data replication. Agent Connectors let your agents query live data on-demand directly within your application. Replication connectors move data in bulk from source to destination on scheduled intervals to keep warehouses and systems synchronized. Use Agent Connectors when building agentic applications that need real-time data access. Use Replication Connectors when you need reliable, scheduled data replication at scale.
How is this different from traditional data pipelines?
Traditional data pipelines are built for batch ETL and analytics. Agent connectors are purpose-built for agentic workloads with real-time fetch and search operations. We combine centralized entity resolution with real-time fetches, so you don't have to choose between batch centralization or pure fetch-on-demand. This provides both shared truth and situational understanding for your agents.
What Agent Connectors are available today?
We're launching with 10 production-ready Agent Connectors: Gong, Zendesk Support, GitHub, HubSpot, Salesforce, Jira, Asana, Stripe, Greenhouse, and Linear. Each is a standalone Python package you can use directly in your app or plug into any agent framework. We're continuing to expand our agent connector library weekly, so keep an eye out for new connectors. Our Replication Connector catalog is over 600 and growing daily.
Is this another agent framework or orchestrator?
No. We're not building another agent orchestrator or LLM framework. Agent Connectors are the connective tissue underneath: open-source Python SDKs that any framework plugs into. They work with any agent framework (LangChain, LlamaIndex, CrewAI) and any model provider (OpenAI, Anthropic, Claude). Use them standalone or integrate them into your existing stack.