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Performance

What we measured in September 2026, on what, and what the numbers do not cover.

Lookup speed#

Medians over 16 fixed test tasks, on a copy of 1 real archive of about 6,900 conversations, on 1 Mac, with Search by meaning on.

Repeat questionNew question
Context pack65 ms343 ms
Ranked search47 ms296 ms

A repeat question is one whose embedding is already cached. A new question has to be embedded first, and that 1 request to Voyage is most of the wait: 225 ms at the median, 352 ms at worst over 40 requests. Onadit waits at most 1.5 seconds for it, then answers by keyword.

These time Onadit's lookup. Your agent writes its answer after that.

A replay of real use#

We replayed 65 real agent sessions from September 1 to 24: 146 pack and search calls in all.

Median90th percentile
Repeat questions101 ms339 ms
New questions412 ms850 ms

Does it find the right thing#

On the same fixed tasks, each with a source we knew to be the right one:

Result
Context packs that returned the right source7 of 10
Context packs that showed the evidence text itself6 of 10
Searches that returned the right source3 of 4

These are small samples from 1 archive. They tell you the order of magnitude, not a rate you should expect.

Agents answering questions#

We gave 18 questions, twice each, to headless Claude Code agents that could use only Onadit's tools. 16 of the 36 runs had no answer in the archive, to see whether the agent would say so.

36 runsResult
Correct and supported, or correctly "not found"36
Correctly said "not found" when there was no answer16 of 16
Quotes the agent cited that were found word for word in the cited passage78 of 78
Time to answer, median9.5 s
Of which waiting for Onadit, median0.8 s

This shows agents using Onadit. It does not compare them with agents that have no Onadit. We have not run that comparison.

Compared with grep#

grep is faster than Onadit. It returns matching lines from files you point it at. Onadit returns ranked passages from conversations, with a source and a date on each, and can match on meaning when the words differ. Use grep when you remember the words and the file.

What these numbers do not tell you#

  • Tokens saved. We have not measured it.
  • Answer quality against an agent without Onadit. We have not measured it.
  • Speed on your Mac, with your archive. 1 machine, 1 archive.
  • Saving. An embedding for a newly saved conversation can take far longer than a lookup. It happens in the background.
  • The first minute after an update. The keyword index is rebuilt once, and keyword search is slow until that finishes.

Last updated 12 October 2026. This page is also available as Markdown, and every page is listed in llms.txt.