Distributed neural simulation with MPI for Brian2 models
Hosted memory for AI agents that forgets like people do
Stage
Startup
Not given
Founded
2026
Not given
Based in
GB
Not given
Pricing model
Open source
Free trial
Pricing
Not given
Two meters: user turns (per user turn) and stored memory (per GB-month). Pricing to be announced. Free tier with monthly allowance of turns and memories.
Key features
Distributed simulation across MPI ranks
Multi-backend execution (CPU, GPU, Browser, MPI)
AtlasIR typed intermediate representation
Native forward and reverse execution for training
Retains Brian2 modelling interface
GPU execution on Apple Metal and NVIDIA CUDA
WebAssembly browser execution
CPU reference and AOT compilation
Conversation episodes with automatic cutting and concept-based organization
Activation fading by square root of time with significance tracking
Automatic fact extraction and indexing for recall
Recall system that surfaces relevant past facts when needed
Sleep function that fades context after 24+ hours of silence
Fallback to local tail when service is unreachable
What makes it different
Distributed execution without sacrificing Brian2's familiar modelling interface
Open-source with published arXiv paper and reproduction materials
Explicit, verifiable execution plans via AtlasIR
Forgets like people do with fading by time, not truncation
Your model, your key, your loop; service only holds history
Facts kept permanently even as episodes fade from view
Decorate, submit, report: only three lines of integration
Human-inspired memory mechanism based on cognitive science
Brian2 Atlas
Threadless AI