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-1.9.3.tar.gz (95.1 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.9.3-py3-none-any.whl (146.6 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.9.3.tar.gz.

File metadata

  • Download URL: anusara-1.9.3.tar.gz
  • Upload date:
  • Size: 95.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.3.tar.gz
Algorithm Hash digest
SHA256 059e2eb8a31814d4f7357236d86808e6a7c9f6807bb8f21a6f867f6c03366f68
MD5 ae5a7e6653f79fc9eda6ee4a73f9c712
BLAKE2b-256 6454d3f44df48fe59e9e0fc3f5e6c1198e5590ef9a4da3d4456848250155ebae

See more details on using hashes here.

File details

Details for the file anusara-1.9.3-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.9.3-py3-none-any.whl
  • Upload date:
  • Size: 146.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.9.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d37916b16273a9657876be51b1b98d5695a1bdf8d59ce0297667d7d805a76333
MD5 54d7a060ceb269ecbf43830d488680f2
BLAKE2b-256 be489223b7fc54c28e650d4aeffa1144dcb728c19a8df09c0d22c815b4c3368a

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