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-1.9.12.tar.gz (96.1 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.9.12-py3-none-any.whl (148.0 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.9.12.tar.gz.

File metadata

  • Download URL: anusara-1.9.12.tar.gz
  • Upload date:
  • Size: 96.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.12.tar.gz
Algorithm Hash digest
SHA256 360b5990fc687bb61cc070f22583e2569086aefd06a6f870db23f3820819c6dd
MD5 e7663e926713203de228d2ce5d31f66a
BLAKE2b-256 743ad7c1a5b036e1ddbe75d2723340bdcd6b1a16c25b36334e9a67d803d5178d

See more details on using hashes here.

File details

Details for the file anusara-1.9.12-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.9.12-py3-none-any.whl
  • Upload date:
  • Size: 148.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.12-py3-none-any.whl
Algorithm Hash digest
SHA256 0f7cb17757ee14fdcada6dc676e66982248e2ee2534fdc95b0c15242fc5fa81a
MD5 a886ac0a8ddca554b394d597012700c0
BLAKE2b-256 64c25936d92dfe044d24f87986ee4e1986f1cde64d45d3e76437da393e3c6c57

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