llm-vs-rlm — tool profile and history

This research compares traditional LLM-based multi-agent systems with Recursive Language Models (RLMs) that preserve and transfer reasoning context between agents. The results show that recursive context management significantly improves reasoning depth, tool usage, and performance on complex multi-hop tasks.

Dormant

Canonical source ↗

Language
Python
License
MIT
Created
Last activity
Topics
  • a2a-protocol
  • ai-agents
  • llm
  • multi-agent
  • pthon
  • rlm

Current measurement

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measured growth

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Reading history

90 days · 90 maximum readings
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Classifications

Domains
Type
Other
Use cases
  • No declared use case

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.