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  1. Home
  2. /Repositories
  3. /ratel-ai/ratel
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 22h ago

ratel-ai/ratel

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 59%I built an open-source memory governance layer for AI assistants - looking for technical feedback [P] →
  • PossiblePossibly related (embedding) · 56%PACE: A Proxy for Agentic Capability Evaluation →
  • PossiblePossibly related (embedding) · 47%Natural Language Processing (NLP) Market to Reach USD 216.89 Billion by 2031 at 25.7% CAGR, Driving Multilingual AI and Intelligent Automation | Report by MarketsandMarkets™ - The Winchester Star →
  • PossiblePossibly related (embedding) · 62%The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix →
  • PossiblePossibly related (embedding) · 70%Show HN: Ratel, give agents unlimited tools and skills without context bloat →
  • PossiblePossibly related (embedding) · 49%Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval →
  • PossiblePossibly related (embedding) · 46%Talos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P] →
  • PossiblePossibly related (embedding) · 54%Mach-Mind-4-Flash Technical Report →

Covers

newsI built an open-source memory governance layer for AI assistants - looking for technical feedback [P]

Implements

paperPACE: A Proxy for Agentic Capability Evaluation

Covers (incoming)

newsNatural Language Processing (NLP) Market to Reach USD 216.89 Billion by 2031 at 25.7% CAGR, Driving Multilingual AI and Intelligent Automation | Report by MarketsandMarkets™ - The Winchester StarnewsThe AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fixnewsShow HN: Ratel, give agents unlimited tools and skills without context bloatnewsTalos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P]

Implements (incoming)

paperTask Decomposition-Guided Reranking for Adaptive Agent Skill RetrievalpaperMach-Mind-4-Flash Technical Report

Related across the graph

newsI built an open-source memory governance layer for AI assistants - looking for technical feedback [P]newsNatural Language Processing (NLP) Market to Reach USD 216.89 Billion by 2031 at 25.7% CAGR, Driving Multilingual AI and Intelligent Automation | Report by MarketsandMarkets™ - The Winchester StarpaperMach-Mind-4-Flash Technical ReportnewsThe AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fixpaperTask Decomposition-Guided Reranking for Adaptive Agent Skill RetrievalpaperPACE: A Proxy for Agentic Capability EvaluationnewsTalos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P]newsShow HN: Ratel, give agents unlimited tools and skills without context bloat
Knowledge path·NI built an open-source memory governance layer for AI assistants - looking for technical feedback [P]→NNatural Language Processing (NLP) Market to Reach USD 216.89 Billion by 2031 at 25.7% CAGR, Driving Multilingual AI and Intelligent Automation | Report by MarketsandMarkets™ - The Winchester Star→PMach-Mind-4-Flash Technical Report→Rratel-ai/ratel

Topics

accuracyagentsclaude-skillscontextharnessllmllm-routingmcpmcp-servermemory

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Graph trust82Primary
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