qf-studio/navigator

This page introduces an external open-source repository. It is not an HDATF product.

What it does

A Claude Code plugin that loads documentation as needed rather than all at once. It also describes features for remembering user preferences across sessions and detecting repeated corrections in collaboration.

How it helps ATF

For Harness, it may inform selective context loading and persistent user preferences. Its treatment of repeated corrections is worth comparing when designing checks for deviations during AI work.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

More in this category

• facebookresearch/context-language-models
  The official repository for the Context Language Models paper, which describes language models that manage their own context by treating the context as a file the model may update without restriction. The authors report that building such models zero shot beats existing context management strategies across several tasks, including higher accuracy with fewer FLOPs on BrowseComp-Plus and on EdgeBench, and that the approach extends to multi agent settings where several agent contexts coexist as files.
• tigerless-labs/agent-memory
  A long-term memory runtime for AI agents. Plain Markdown files are the source of truth, a SQLite index is a deletable cache, local ranked retrieval returns file paths, and Claude Code and Codex share one store.
• kunchenguid/backpass
  A tool that reads local agent session transcripts from seven harnesses and proposes evidence-backed edits to AGENTS.md, CLAUDE.md and project skills under a token budget. Analysis never writes, and a person accepts or rejects each edit.
• Asymptote-Labs/agent-beacon
  A memory layer that captures coding-agent sessions across harnesses and turns workflows, corrections, and debugging patterns into reusable knowledge. Reviewed knowledge is available through MCP or Agent Skills.
• vectorize-io/hindsight
  An agent memory system focused on learning over time rather than only recalling conversations. Its documentation outlines retention, recall, reflection, observations, and memory banks.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.