Model Terminal
PrediMem
PrediMem is a dual-system robotic memory framework that pairs a high-level vision-language model planner with a low-level vision-language-action executor, using predictive coding to improve keyframe selection and memory-augmented task continuation in dynamic environments. It is a research model artifact, not a commercial product. Source: supabase.
Value score
Not scored
Context
—
tokens
Max output
—
tokens
Price
—
Capability radar
Peer value bars
Identity
- Developer
- Mem
- Openness
- —
- Modalities
- —
- Release
- —
- Knowledge cutoff
- —
- Deprecation
- —
- API docs
- —
Benchmarks
No benchmark scores yet.
Compare nearby
Pricing
- Input / 1M
- —
- Output / 1M
- —
- Speed
- —