NousResearch/hermes-agent

Auto-summarize long contexts to reduce token usage

Cluster 480 · agent. Data as of

Nothing open on GitHub. Fix attempted, not merged.

The short answer

0open issues
0open PRs
5items grouped
Known?
Yes. 5 related items grouped here, 4 issues already closed.
Fix event
No fix has been merged to main. 1 PR closed without merging; see the attempts below.
Tracker
The maintainers' tracker marks this unresolved. That is separate from the fix event.
Still open
Nothing open on GitHub.

These items concern automatically compressing or summarizing conversation history when context grows long, to reduce token consumption and support extended sessions. Approaches include saving summaries to file, LLM-based condensation, and self-triggered compaction after each turn.

Open issues0

No open issues.

Open PRs0

No open pull requests.

1 PR closed without merging

From the close comments: done elsewhere 1

  • #66533 feat: add self-triggered context compaction after each turn (#66501) · done elsewhere → 90f8414, #66501
Closed issues · 4
  • Closed#480Feature: LLM-Based Context Condensation for Long Sessions
  • Closed#55961Feature Request: Auto-summarize conversation history to reduce token consumption
  • Closed#58882Feature: Save conversation summary to file, only load summary + recent messages
  • Closed#66501Self-triggered context compaction
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(partly structural links): some members are connected by structural evidence (shared changed files, or a closing/superseded reference); the rest are joined by an automated relevance judgement over their text.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 0.21: 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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At a glance

Subsystem
agent
Closed issues
4
Attempts
1 PR closed without merging

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