Show HN: A Local-First Agentic Knowledge Manager

Kept addresses a critical gap in local LLM deployment: managing stateful, agentic workflows while maintaining full data sovereignty. As AI agents become more prevalent in local deployments, the ability to maintain persistent knowledge bases and memory systems without external dependencies becomes essential. Kept's local-first approach ensures that all agent interactions, learned patterns, and knowledge artifacts remain within your infrastructure.

This tool is particularly relevant for practitioners building multi-step reasoning pipelines, autonomous task execution, or knowledge-intensive applications on local hardware. The framework integrates with local LLMs to create agentic systems that can maintain context and memory across sessions without relying on cloud-hosted knowledge bases.

Explore Kept on GitHub to see how you can build locally-managed agentic workflows with full data control.

Source: Hacker News · Relevance: 8/10