Tagged "local-llm-agents"
5 articles tagged local-llm-agents, 12 March 2026 to 29 May 2026. Newest first.
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The Infrastructure Behind Making Local LLM Agents Actually Useful
A comprehensive guide examining the architectural and infrastructure requirements for deploying functional local LLM agents, covering practical considerations beyond raw model performance.
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Eval Skills for AI Agents
A new evaluation framework for systematically testing and benchmarking AI agent capabilities, enabling local developers to assess agent performance before deployment. This tool addresses the critical need for robust evaluation in agentic systems.
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Lat.md: Agent Lattice – A Knowledge Graph for Your Codebase in Markdown
A new tool that builds structured knowledge graphs from codebases in Markdown format, enabling better context management and retrieval for AI agents operating on local codebases.
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3-Path Agent Memory: 8 KB Recurrent State vs. 156 MB KV Cache at 10K Tokens
A new memory architecture demonstrates significant efficiency gains for local LLM agents, reducing memory footprint from 156 MB to just 8 KB while maintaining performance at 10K token contexts. This breakthrough is critical for deploying agents on resource-constrained devices.
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MeepaChat – Slack for AI Agents (iOS, macOS, Web / Cloud, Self-Hosted)
MeepaChat is a new open-source platform providing Slack-like collaboration tools for AI agents, with support for cloud and self-hosted deployment models.