Airbyte Agents
The context layer for production-grade AI agent
51 followers
The context layer for production-grade AI agent
51 followers
The context layer for production-grade AI agents. Connect Salesforce, Stripe, Zendesk +50 more into a queryable Context Store, so your agent reasons across systems without stitching APIs at runtime. UI, MCP, or SDK. 40% fewer tool calls, up to 80% fewer tokens.
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The "context layer" framing is exactly what's missing in most production agents — the value isn't "call this API", it's "reason across systems without rebuilding the join at runtime." 80% fewer tokens is a serious unlock when you're deploying agents on noisy, time-sensitive data streams. We hit a parallel problem on the financial side: agents watching prediction markets and trading flows produce signal soup unless you give them a unified context of positions, baselines, and event history. That's basically what we built into PolyMind for Polymarket alerts. Curious how Airbyte's Context Store handles temporal data — do you snapshot events with timestamps so an agent can reason about "what changed since 9am" without re-pulling raw API history?
@samir_asadov Hi Samir, Henry from airbyte here. The Airbyte Context Store maintains a search-optimized index of your data so agents can instantly query "what changed since 9AM" without the lag of raw API loops. We use a hybrid approach to keep things efficient: agents use the Context Store for sub-second discovery, then perform a direct call to the API to verify the latest state right before they execute a task.
I feel like a lot of these products are solving for invented solutions.
I had limited coding experience before starting to build my own enterprise apps + websites in Feb, and I have honestly not come up against I problem I have not been able to solve on my own.
By the time I knew N8n existed, I had already automated all of the ops in one of my projects.
I feel like having something of our the box for connectors could be useful but also as a discovery exercise, maybe part of your service could be to introduce new endpoints that customers previously had not considered (i.e. why not use X instead of Y).
most agent demos collapse in production because nobody solved the data layer and airbyte already has the connectors and enterprise trust to actually fix that. one thing i'd want to understand: for write-back actions, is there an approval gate before the agent commits a change to salesforce or stripe, or is that left entirely to the caller to implement?