Skip to main content

Next-Gen event stream and workflow engine.

Project description

Logo

AmritaSense

PyPI Version Python Version License Discord QQ Group

"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 SetIF/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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amrita_sense-0.3.3.1.tar.gz (64.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amrita_sense-0.3.3.1-py3-none-any.whl (58.1 kB view details)

Uploaded Python 3

File details

Details for the file amrita_sense-0.3.3.1.tar.gz.

File metadata

  • Download URL: amrita_sense-0.3.3.1.tar.gz
  • Upload date:
  • Size: 64.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for amrita_sense-0.3.3.1.tar.gz
Algorithm Hash digest
SHA256 bff7e3c8fcc7d93db1224a0e8b3461f5c6cd35ee70f036bb8f4804cc06ffc074
MD5 5f0bcc1b7a13f2f1545042f412854186
BLAKE2b-256 b0b2de79aa21f542e949c5da554e2b028154b52524ad70adad958dc1211a4af4

See more details on using hashes here.

File details

Details for the file amrita_sense-0.3.3.1-py3-none-any.whl.

File metadata

  • Download URL: amrita_sense-0.3.3.1-py3-none-any.whl
  • Upload date:
  • Size: 58.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.26 {"installer":{"name":"uv","version":"0.11.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for amrita_sense-0.3.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bfead46c9d27627659d5d48895ee98c0c916fd3d6f406164965301e0ed76de5e
MD5 d1e91b09a0a1eb71526536d29436726a
BLAKE2b-256 fe7cb75d3ef1e0ea9ab1b5861bef7075f502d1f1364ad5449540732de179bed1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page