Improve signal retention during context compression
NousResearch/hermes-agent · cluster 16834 · agent
Data as of
3 open items. Fix attempted, not merged.
The short answer
2open issues
1open PR
4items grouped
- Known?
- Yes. 4 related items grouped here, 1 issue already closed.
- Fix event
- No fix has been merged to main. see the attempts below.
- Tracker
- The maintainers' tracker marks this
unresolved. That is separate from the fix event. - Still open
- 2 issues and 1 PR. Broad area: open items may be separate problems.
Next step: read the attempts below. Your case may extend or revive that work.
Pick up a Lab taskThese items explore enhancements to context compression pipelines, focusing on preserving high-quality or high-signal information across repeated compactions while filtering noise and deduplicating content. Approaches include pre-compression memory extraction, quality filtering, and LLM-based pre-filtering to reduce token cost.
Open issues2
Open PRs1
- PR#62777feat(compression): preserve fidelity across repeated compactions
Closed issues · 1
- Closed#16834feat(hindsight): LLM-based retain pre-filter to reduce noise and token cost
How this cluster was grouped
-
Link evidence (
partly structural links): some members are connected by structural evidence (shared changed files, or a closing/superseded reference); the rest are joined by an automated relevance judgement over their text. - Members outside that structural core may belong to a different underlying problem.
-
Pairwise link density
0.29: 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