OpenAaaS
Active·★ 31·MIT·Updated 2026-10-18
OpenAaaS is a novel research infrastructure that enables AI analysis capabilities to flow to where data resides, rather than moving data to AI models. It allows any agent to discover, orchestrate, and invoke global research node capabilities, facilitating data-centric scientific discovery without data migration.
#Agentic AI#Distributed Computing#Data-centric AI#Scientific Research#Edge Computing#Containerization#API Integration#Research Infrastructure
01
Features
01Agent zero-cost integration, self-describing APIs automatically expose service documentation
02Data remains within its domain (no data exfiltration)
03Single binary, zero-maintenance deployment
04Each experiment runs in an independent sandbox for reproducible results
05Compatible with MCP (Model Context Protocol) standard
02
Compatibility
Rust
Runtime
Verified via docs
Docker
Containerization
Verified via docs
Python
Client/Tooling
Verified via docs
MCP-compatible Agents
Agent Integration
Verified via docs
macOS, Windows, Linux
Desktop Client
Verified via docs
03
Quick start
1
$ cd server
2
$ cargo build --release
3
$ ./target/release/open-aaas-server run
04
Use cases
↳Accessing community-shared scientific research services via a public server
↳Deploying on a local lab server to integrate proprietary analysis scripts and specialized computing processes as network nodes
↳Integrating with MCP-compatible agent clients (e.g., Claude Desktop, Cursor) to utilize network tools without custom plugins
05
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