memvid vs planning-with-files
Side-by-side comparison of two AI agent tools
Short answer
- planning-with-files is growing faster: +590 GitHub stars in the last 30 days vs +60 for memvid.
- Pick memvid for: memory layer for AI Agents. Pick planning-with-files for: persistent file-based planning and context recovery for AI coding agents and long-running tasks.
From GitHub data refreshed daily.
m
memvidopen-source
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
p
planning-with-filesopen-source
Persistent file-based planning and context recovery for AI coding agents and long-running tasks
Metrics
| memvid | planning-with-files | |
|---|---|---|
| Stars | 16.6k | 27.3k |
| Star velocity /mo | 60 | 590 |
| Commits (90d) | 2 | 228 |
| Releases (6m) | 1 | 10 |
| Downloads (30d, npm + PyPI) | — | 2.7K |
| Overall score | 0.373647507317092 | 0.7798501915116138 |
FAQ
- Which is more popular, memvid or planning-with-files?
- planning-with-files has more GitHub stars (27,264 vs 16,573).
- Which is more actively developed, memvid or planning-with-files?
- planning-with-files had more commits in the last 90 days (228 vs 2).
- Should I use memvid or planning-with-files?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.