teolex2020/AuraSDK
by Various
Cognitive memory for AI agents. Pure Rust, <1ms recall, 2.7MB, zero cloud. Patent Pending.
MCP
teolex2020/AuraSDK
Added 1 June 2026
Overview
AuraSDK provides cognitive memory for AI agents as a pure Rust library. It supports sub-millisecond recall, weighs 2.7MB, and runs entirely offline with no cloud dependency. The project is patent pending as of its last update.
Best for
Best for
Developers building privacy-focused, local AI agents in Rust who need minimal latency memory
Use cases
- Embedding fast memory recall into local AI agents
- Building privacy-preserving agent workflows without cloud latency
- Lightweight memory layer for resource-constrained Rust-based agents
How to use
Install
pip install aura-memory Tools exposed
recall_structuredstore_codestore_decision
Tested with
Claude Desktop, Cursor, Continue, VS Code, ChatGPT
Notes
AuraSDK provides cognitive memory for AI agents as a pure Rust library. It supports sub-millisecond recall, weighs 2.7MB, and runs entirely offline with no cloud dependency. The project is patent pending as of its last update.
69 stars on GitHub. Last updated 2026-05-15. Licensed MIT.
Use cases
- Embedding fast memory recall into local AI agents
- Building privacy-preserving agent workflows without cloud latency
- Lightweight memory layer for resource-constrained Rust-based agents
Pros
- Extremely fast recall under 1ms for real-time agent interactions
- Zero cloud dependencies ensure privacy and offline operation
- Small footprint (2.7MB) ideal for edge or embedded deployments
Cons
- Early stage with only 69 GitHub stars, limited community or third-party support
- Only available in Rust, narrowing integration for non-Rust agent stacks
- Patent pending may impose future licensing constraints
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Extremely fast recall under 1ms for real-time agent interactions
- Zero cloud dependencies ensure privacy and offline operation
- Small footprint (2.7MB) ideal for edge or embedded deployments
Cons
- Early stage with only 69 GitHub stars, limited community or third-party support
- Only available in Rust, narrowing integration for non-Rust agent stacks
- Patent pending may impose future licensing constraints
Pairs with
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