Skip to main content

Deterministic execution engine with traceable, immutable history

Project description

Anusara

Deterministic execution runtime for agent workflows.


What is Anusara?

Anusara is a deterministic runtime for executing agent workflows.

Anusara makes agent workflows deterministic, observable, and replayable by design.

It executes graphs of agents using:

  • deterministic scheduling
  • event-sourced execution history
  • replay-driven state reconstruction

Every execution becomes:

  • replayable
  • inspectable
  • debuggable
  • reproducible

🚀 Quickstart (Docker)

Run Anusara

docker run -d --name anusara -p 8000:8000 navasoftsolutions/anusara:latest

Verify

curl http://localhost:8000/health && echo
curl http://localhost:8000/agents/available && echo

The Mental Model

Agent Graph
     ↓
Deterministic Execution Engine
     ↓
Event Log (source of truth)
     ↓
Replay • Debug • Observability

Why Anusara?

Anusara enforces:

  • deterministic execution
  • event log authority
  • replay-based debugging
  • explicit lifecycle guarantees

Key Features

  • deterministic execution
  • event-sourced execution history
  • replayable workflows
  • HTTP + CLI + Python runtime
  • agent lifecycle management
  • built-in observability
  • controlled workflow mutation

Project Status

Anusara is under active development.


License

MIT License

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

anusara-1.9.1.tar.gz (94.9 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.9.1-py3-none-any.whl (146.4 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.9.1.tar.gz.

File metadata

  • Download URL: anusara-1.9.1.tar.gz
  • Upload date:
  • Size: 94.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.1.tar.gz
Algorithm Hash digest
SHA256 7ce1bd4514b27a9f9502582709f63b1940f3098963e8344b3aeedfae2e022f9b
MD5 adced8599ab066213d6ed339c5d0a31d
BLAKE2b-256 62e56db12a53d01f9dbbd568b9ba44080a96ae6eb7fa5c768d8d8cb48f324585

See more details on using hashes here.

File details

Details for the file anusara-1.9.1-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.9.1-py3-none-any.whl
  • Upload date:
  • Size: 146.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b35c20d21db4f76233f3eab950529237090733491897af2d31148e7e703f8032
MD5 90357f01302579a96ce5df74c0a68fa7
BLAKE2b-256 4aa303ce47e553665ad11023bb4f03a8071942042ef96fb2bf282d4a8bd8a7ca

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