stephenschoettler/hermes-lcm
Lossless Context Management plugin for Hermes Agent — DAG-based context engine that never loses a message observed · 2026-09-03
Health v2 · maintenance only
80/100
- Activity 100
- Release rhythm 94
- Longevity 10
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 149
- days_rel: 40
- days_push: 0
- n_releases_24m: 35
Adoption not part of the score
1102 stars · 121 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A lossless context management plugin for Hermes Agent that replaces one-shot prompt compression with a SQLite-backed, DAG-based context engine. It keeps the live prompt bounded while preserving every raw message and providing recall tools so agents can search and expand compacted context on demand.
Use cases
- keep agent conversations from losing details when context is compacted
- give my AI agent long-term memory without unbounded prompts
- search and recover exact past messages after summarization
- build hierarchical summaries of long agent sessions
- import lossless-claw context into Hermes Agent
When to avoid
- you don't use Hermes Agent or a compatible host
- you need a general-purpose vector database or RAG framework
- you want a hosted or language-agnostic memory service
Facets
plugin · maturity active
rag search-engine database llm-inference large-language-models databases developer-tools python cli context-management agent-memory sqlite dag hermes-agent lossless-compaction conversation-recall ai-agents
1 source
- readme: https://github.com/stephenschoettler/hermes-lcm · fetched 2026-09-03 · a5b750af9f9a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| stephenschoettler/hermes-lcm | main | 80 |
For agents
markdown · JSON · MCP: product_card(name="stephenschoettler/hermes-lcm")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem