Now that Astra is moving to a new compaction model (aka, ditching compaction altogether), is there any need for this sort of thing still?
OKF Agent Memory – Git-native persistent memory for AI coding agents
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Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#12This one was posted before?
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#13How does it compare to https://github.com/scaccogatto/okf-skills ?
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#14[flagged]
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#15The performance is cool and all, but what about capture/retrieval quality? Are there any benchmarks for that?
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#16How well does the model adhere to using this in a harness like Codex where it may be directed to use the built in memory tooling? Maybe I'll need to try an experiment directing it to save to its native memory to use OKF instead
This is usually my main concern with tooling like this that isn’t a first party project. Anthropic can tune Opus, Fable, etc and their harness to use their memory format or preferred method of tool calling. I have had mixed results getting LLMs to consistently use third party tools.
I’m very much in favor of things like OKF wikis for memory or knowledge storage/retrieval. So I too would love to know how well this really integrates into one of the coding harnesses (Claude code or Codex mainly).
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#17Now that Astra is moving to a new compaction model (aka, ditching compaction altogether), is there any need for this sort of thing still?
Huh? Can you show source on the "it will not compact"? Very interesting.
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#18Now that Astra is moving to a new compaction model (aka, ditching compaction altogether), is there any need for this sort of thing still?
Huh? Can you show source on the "it will not compact"? Very interesting.
"With Astra, we’re introducing a new way for Codex to preserve and retrieve context when the context window fills. Historically, models have used compaction to summarize work during long sessions, such as when debugging complex issues or tackling large refactors. Each compaction can leave out details about why a fix failed or how a component behaves. In Codex, Astra can keep notes across context windows, preserving accumulated details without repeatedly compressing them into a single summary. Earlier context windows remain searchable, so Astra can find requirements or test results from previous messages and tool outputs—even if that information wasn’t captured in its notes. You can enable this experimental feature in your Codex config.toml, (opens in a new window) and it will become the default for Astra in the coming weeks."
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#19I want this, but also for cross-project memory. Save me from building my own, which I have planned but figure something would eventually pop up in HN...
Re: OKF Agent Memory – Git-native persistent memory for AI coding agents
#20[flagged]