AmritaSense

"Sense is all you need."

AmritaSense is a general-purpose workflow orchestration engine that replaces traditional graph-based models with an instruction set architecture—treating workflows not as nodes-and-edges diagrams, but as programmable execution streams driven by a lightweight virtual machine.

Why AmritaSense?

Most workflow engines force you into a graph mindset: define nodes, connect edges, manage state objects. AmritaSense takes a different path. You compose nodes and control flow just like writing ordinary code—the engine compiles them into a linear instruction sequence, then executes them step by step. The result: zero scheduling overhead, native interrupt support, and the expressive power of assembly-level control flow.

Core Features

• Complete Instruction Set—IF/ELIF/ELSE, WHILE/DO-WHILE, GOTO/CALL, TRY/CATCH/THEN/FIN, NOP, INTERRUPT. All control flow is first-class, not simulated through graph routing.
• VM-Style Execution—A program counter (PointerVector) and call stack drive execution. Jumps are integer operations, not graph traversals.
• Async-Native Suspend/Resume—Two Future callbacks enable full workflow interruption at any node boundary. Built for debuggers and human-in-the-loop systems.
• Declarative Dependency Injection—Nodes declare dependencies via function signatures. The engine resolves them at runtime with type matching and concurrent resolution.
• Ultra Lightweight—Core interpreter is ~300 lines. Compiles 100,000 nodes in ~200ms. Runs anywhere from Raspberry Pi to cloud.
• Self-Compile Instructions—Extend the instruction set with SelfCompileInstruction. Compile-time expansion, zero runtime overhead.

Installation

pip install amrita-sense

Quick Look

import asyncio
from amrita_sense import Node, WorkflowInterpreter as WorkflowPC, IF, NOP

@Node()
def condition() -> bool: return True

@Node()
def action(): print("Done")

flow = IF(condition, action) >> NOP
pc = WorkflowPC(flow.render())

if __name__ == "__main__":
  asyncio.run(pc.run())

See more demos in demos/

Documentation

Full guides, concept explanations, and API reference at sense.amritabot.com.

Contributing

Contributions are welcome. See CONTRIBUTING.md and our Code of Conduct.

License

Apache V2. See LICENSE.

AIGC Content Licensing Policy

AACLP V1. See POLICY_OF_AIGC (Official Link) for details.