# NousResearch/hermes-agent · Proposals to compress LLM tool output tokens

## Open now

- 2 issues, 0 PRs open on GitHub.
- #39691: feat(compression): integrate headroom-ai for tool output compression
- #40269: \[Feature\]: I vibed a hermes-headroom wrapper that saved me 70%, someone should integrate something like it ASAP.
- _Broad area: open items may be separate problems._

These members propose adding a configurable compression layer for tool results and LLM inputs to reduce token usage and associated costs. They include an RFC, feature requests, and a specific integration suggestion, but no confirmed implementation exists.

## TL;DR

- 4 member(s): 2 open issue(s), 2 closed issue(s), 0 open PR(s), 0 merged PR(s), 0 PR(s) closed without merging.
- No fix found: no merged or attempted fix PR is on record for this cluster.
- **Recommended:** if this matches your symptom, consider adding to the existing issue(s) below rather than opening a new one.

## Maintainer resolution verdict

- Internal-tracker verdict over this cluster's issue members: `unresolved`. This is distinct from the fix status above. Weigh it yourself.

## How this cluster was grouped

- Link evidence (`LLM_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 `0.18`: the share of member 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.

## Open related issues

- #39691: feat(compression): integrate headroom-ai for tool output compression
- #40269: \[Feature\]: I vibed a hermes-headroom wrapper that saved me 70%, someone should integrate something like it ASAP.

## Closed / duplicate issues

- #1136: \[Feature\]: Add support for LLM input compression to save 40-60% on LLM costs
- #31400: RFC: Pluggable type-aware output-compressor pipeline for tool results

## Fix status

- No merged fix on record.
- Subsystem: `agent`