GitHub Repository Radar
Best llm-memory GitHub Repositories
Curated repositories sharing the llm-memory topic on our radar — with growth, activity and local Radar analysis.
-
Give Claude Code photographic memory in ONE portable file. No database, no SQLite, no ChromaDB - just a single .mv2 file you can git commit, scp, or share. Native Rust core with sub-ms operations.
576 60 34 radar 8mos ago -
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
551 68 52 radar 3w ago -
RushDB is a graph + vector database and memory layer for AI agents. Push any JSON, get typed, searchable, relationship-aware records back — no schema, no migrations. Built on Neo4j.
323 25 50 radar 3w ago
Popular languages
Popular topics
Repository Radar FAQ
- What is GitHub Repository Radar?
- A discovery and analysis layer on top of publicly available GitHub repository metadata — built to help you find, compare and track interesting open-source projects.
- How are repositories discovered?
- Through our existing Chrome extension workflow that imports public repository information into Laravel. We do not scrape private data.
- How often is repository data updated?
- Whenever the extension observes a repository again. Growth charts appear only after enough metric snapshots exist.
- What does Repository Radar Score mean?
- A proprietary 0–100 score from observed popularity, growth, activity and related signals. It is not provided by GitHub.
- What is a trending repository?
- A repository with high recent star growth (and typically recent activity) based on thresholds in our configuration — not a GitHub trending claim.
- Can I open the original GitHub repository?
- Yes. Every repository page links back to the original host URL. Always verify license and code on GitHub before adopting a project.