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Find evidence-led implementation notes, comparisons, and technical research across Runeval’s published library.

PipesHub for AI Agents: Permission-Aware Retrieval Overview
3.8Kstars
Semantic Router for LLM Apps: Embeddings and Intent Routing
3.9Kstars
Qwen3.8-27B Explained: Memory and Thinking Controls
6.9Mdownloads
Rapid-MLX for Coding Agents: Apple Silicon Inference
4KstarsCaura Explained: Shared Memory for AI Agent Fleets
545starsQuivr V2 Explained: Durable Ingestion and Vector Search
39.6Kstarskvcached GPU Memory Sharing: How Elastic KV Caching Works
1.5KstarsSlotstream Explained: Running MoE Models on a Mac
412stars
Phoenix for LLM Evaluation: Traces to Regression Cases
11.7KstarsIBM ContextForge Explained: An MCP and A2A Gateway
4.6KstarsVespa Vector Search: In-Engine Ranking vs Separate Retrieval
7.1Kstars
GPUStack for Multi-GPU Inference: Server and Worker Roles
5.8Kstars
mcp-memory-service Explained: Persistent AI Agent Memory
2KstarsOpik Overview: LLM Tracing, Evaluation and Guardrails
22.2Kstarsamux Explained: Running Parallel AI Coding Agents
458stars
Trigger.dev Explained: Durable AI Agent Workflows
16.3KstarsMilvus Explained: Vector Search and Storage Separation
46.1Kstars
TanStack AI Explained: Streaming and Type-Safe Tool Calls
3.1Kstars
DeepEval for LLM Testing: Pytest and G-Eval Explained
18.2Kstars