repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Context-Engine-AI/Context-Engine
Context-Engine MCP - Agentic Context Compression Suite
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) · 58%LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive Dashboard →
- PossiblePossibly related (embedding) · 57%ACE: Pluggable Adaptive Context Elasticizer across Agents →
- PossiblePossibly related (embedding) · 55%What if context compression is a diffusion noise function? Proposal + honest results from untrained-model experiments [R] →
- PossiblePossibly related (embedding) · 50%codebase-memory-mcp speeds AI coding agent queries - Let's Data Science →
- PossiblePossibly related (embedding) · 50%MCP Server Architecture Patterns for LLM-Integrated Applications →
- PossiblePossibly related (embedding) · 51%Proposal: Use semantic compression as input diffusion to read sessions larger than the context window [R] →
- PossiblePossibly related (embedding) · 51%I benchmarked 13 models at 65K-128K context to find out what actually matters for agentic workloads →
- PossiblePossibly related (embedding) · 47%CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents →
Implements
Covers
Covers (incoming)
newsProposal: Use semantic compression as input diffusion to read sessions larger than the context window [R]newsI benchmarked 13 models at 65K-128K context to find out what actually matters for agentic workloadsnewsLong Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work - Towards Data Sciencenewsswiss-ai/Apertus-v1.5 70B/8B
Implements (incoming)
Related across the graph
paperMCP Server Architecture Patterns for LLM-Integrated Applicationsnewsswiss-ai/Apertus-v1.5 70B/8BpaperACE: Pluggable Adaptive Context Elasticizer across AgentsnewsI benchmarked 13 models at 65K-128K context to find out what actually matters for agentic workloadspaperLLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive DashboardnewsWhat if context compression is a diffusion noise function? Proposal + honest results from untrained-model experiments [R]paperCompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agentsnewscodebase-memory-mcp speeds AI coding agent queries - Let's Data SciencenewsProposal: Use semantic compression as input diffusion to read sessions larger than the context window [R]newsLong Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work - Towards Data Science