Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
Building Effective AI Coding Agents for the Terminal: Scaffolding, Harness, Context Engineering, and Lessons Learned
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Connections
- zhongweixie/A-Survey-on-AI-Agent-Harness Datasetcited by
- SkillOrchestra: Learning to Route Agents via Skill Transfer Papertwo steps away
- ESAA: Event Sourcing for Autonomous Agents in LLM-Based Software Engineering Papertwo steps away
- DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching Papertwo steps away
- Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory Papertwo steps away
- Meta-Harness: End-to-End Optimization of Model Harnesses Papertwo steps away
- From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents Papertwo steps away
- Choosing How to Remember: Adaptive Memory Structures for LLM Agents Papertwo steps away
- ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference Papertwo steps away
- AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations Papertwo steps away
- Natural-Language Agent Harnesses Papertwo steps away
- Adaptive Vision-Language Model Routing for Computer Use Agents Papertwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models