Show HN: A Human-Curated, CLI-Driven Context Layer for AI Agents

Context management is critical for effective local agent deployment, yet most frameworks couple context handling with cloud-dependent APIs or heavy vector databases. This CLI-driven context layer takes a different approach—emphasizing human curation and local-first operations for managing knowledge that feeds into locally-running LLM agents.

For self-hosted deployments, the appeal is clear: you maintain complete control over what information agents can access, avoid external API dependencies, and can run the entire system offline. The CLI-first design makes it scriptable and integratable with existing development workflows, bridging the gap between local models and practical agent applications.

This kind of infrastructure matters because raw LLM capabilities alone are insufficient for reliable agents; they need curated, retrievable context. A locally-managed context layer means faster retrieval, lower latency, privacy guarantees, and no recurring costs for vector storage—all essential properties for production local deployments.

Source: Hacker News · Relevance: 7/10