Hacker ApprovedDepartments

Airbyte Agents

Ranked 2 of 3 context layers by recommenders

Recommended for handling rate limits, credentials and data filtering for agents, though one critic calls it an ETL pipeline rebranded as an agent.

Recommended for handling rate limits, credentials and data filtering for agents, though one critic calls it an ETL pipeline rebranded as an agent.

11 people gave an opinion

recommend it
9
criticize it
2
approval share
82%
Each figure is one person. RecommendsCriticizes

Recommended in 1 of 13 months

  1. November 2025: not recommended
  2. December 2025: not recommended
  3. January 2026: not recommended
  4. February 2026: not recommended
  5. March 2026: not recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: not recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: not recommended
  12. October 2026: not recommended
  13. November 2026: not recommended (month in progress)

Why it doesn’t carry the badge

  • 9 people recommend itNeeds 10 or more, not met.
  • 4.5 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 1 of 13 monthsNeeds 4 or more, not met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Building block for MCP tooling

    “This is super powerful, and allows you to build more ergonomic MCP servers and tools”

    Comment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “could serve as a form of MCP gateway, or a key building block of an MCP gateway”

    Comment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “This does look like a good foundation for that kind of tooling”

    Comment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”
  • Shields agents from rate limiting

    “I think Airbyte Agents is in a good position because our core Data Replication product has always had to mitigate the impacts of rate limiting”

    Comment from 7 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “Our Agent SDK and Agent Context Store insulates you and your agent from this headache”

    Comment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”
  • Seen as a sensible AI product

    “The new Airbyte Agents offering brings a ton of new capabilities actually.”

    Comment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “I feel like Airbyte is a strong alternative (at least for some use cases).”

    Comment from 7 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “one of the few AI-related products that I have seen that make sense to me”

    Comment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”
  • Trusted ETL brand and expertise

    “I think Airbyte Agents is in a good position because our core Data Replication product has always had to mitigate the impacts of rate limiting”

    Comment from 7 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

    “given your reputable brand and your uncanny expertise in etl”

    Comment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

Other context layers people recommend

The two most recommended other context layers, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Airbyte Agents compared with 2 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
Nia16384%3——
Airbyte AgentsThis page9282%1——
ktx70100%3——
See all 3 context layers, ranked

What people said

17 of the 18 comments that mention it, newest first. Each links to the original comment.

“I think Airbyte Agents is in a good position because our core Data Replication product has always had to mitigate the impacts of rate limiting”

RecommendsComment from 7 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“I feel like Airbyte is a strong alternative (at least for some use cases).”

RecommendsComment from 7 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“one of the few AI-related products that I have seen that make sense to me”

MixedComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“The Airbyte Agents interface also reduces the number of creds that the agent needs to handle”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“you built an ETL pipeline and called it an agent”

CriticizesComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“Super interesting idea! Congrats on the launch.”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“The new Airbyte Agents offering brings a ton of new capabilities actually.”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“bringing hopefully the best access path for each different use case”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“Our Agent SDK and Agent Context Store insulates you and your agent from this headache”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“This is where Airbyte really can shine, I think, and the total can be more the sum of the parts.”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“more robust and agent-friendly successor to that older offering”

RecommendsComment from 6 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“Your billing support email forwards to a google group which rejects the email entirely.”

CriticizesComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“This does look like a good foundation for that kind of tooling”

RecommendsComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“given your reputable brand and your uncanny expertise in etl”

RecommendsComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“could serve as a form of MCP gateway, or a key building block of an MCP gateway”

RecommendsComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“This is super powerful, and allows you to build more ergonomic MCP servers and tools”

RecommendsComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

“Airbyte's implementation provides filtering, which allows agents to retrieve the minimal data needed to achieve the outcome”

RecommendsComment from 5 May 2026 in “Show HN: Airbyte Agents – context for agents across multiple data sources”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.