4 stories tagged with #llm-agents, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Can agents replace the search stack?
Instead of deploying the traditional query understanding + reranking combo, can we let an agent do all the work?…
HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents
Long-term memory is a critical challenge for Large Language Model agents, as fixed context windows cannot preserve coherence across extended interactions. Existing memory systems r…
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
Large language model-based agents have recently emerged as powerful approaches for solving dynamic and multi-step tasks. Most existing agents employ planning mechanisms to guide lo…
ast-outline: a parallel structural code summarizer written in Rust (5–10x token savings for LLM agents)
I just open-sourced ast-outline – a fast, zero-dependency CLI tool that extracts the structural outline of source files (classes, functions, signatures, fields, doc comments + line…