arXiv (All)
open access
RSIHub: A Composable Framework for Agent-Evolution Methods
Agent-evolution methods use execution feedback to improve prompts, skills, tools, and orchestration, but their implementations often rebuild the same experimental machinery. We present RSIHub, an open-source framework for building, comparing, and extending these methods on shared infrastructure. Rec
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents#1297687
- EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement#1326376
- OS-Bench: Evaluating SWE Agents on Cross-OS Code Migration#1345191
- OS-Bench: Evaluating SWE Agents on Cross-OS Code Migration#1336059
- Execution-First Synthetic Tool-Use Trace Generation for LLM Agents#997524
Record · ID 1447620
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive