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.

These 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

  • Issue#16493Proposal: Move Hermes toward a more progressive-loading architecture (minimal startup context, upgrade-on-demand toolsets)
  • Issue#33002Improve context budget diagnostics and lazy context loading for large agent profiles

Open PRs0

No open pull requests.

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
  • 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.
  • 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. 1.00 means every pair is linked.

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Closed issues
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0 PRs closed without merging

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