Reduce startup token load via lazy context loading
NousResearch/hermes-agent · cluster 16493 · agent
Data as of
2 open items. No fix on record.
The short answer
2open issues
0open PRs
3items grouped
- Known?
- Yes. 3 related items grouped here, 1 issue already closed.
- Fix event
- No merged or attempted fix PR is on record for this cluster.
- Tracker
- The maintainers' tracker marks this
unresolved. That is separate from the fix event. - Still open
- 2 issues and 0 PRs. Broad area: open items may be separate problems.
Next step: if this matches your report, add to an open issue below rather than opening a new one.
Pick up a Lab taskThese members propose shifting toward a progressive or on-demand loading architecture to reduce the number of tokens consumed at session start. The focus is on deferring context, tools, or knowledge until actually needed rather than loading everything upfront.
Open issues2
Open PRs0
Closed issues · 1
- Closed#40658[Feature]: LLM-wiki, hopefully a smart idea to reduce the amount of tokens loaded at each sessoin
How this cluster was grouped
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Link evidence (
automated judgement only): no structural link between members; the grouping rests entirely on an automated relevance judgement over their text. - Read the members yourself before treating them as one problem.
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Pairwise link density
0.24: the share of item pairs that carry a link, counting a structural link in full and a relevance-only link at 0.36.1.00means every pair is linked.
Pick up a Lab task
Check whether a fix covers the open issues here, with your own agent. Bring back evidence for maintainers.
Open the LabAt a glance
- Subsystem
- agent
- Closed issues
- 1
- Attempts
- 0 PRs closed without merging