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-1.18.0.tar.gz (104.3 kB view details)

Uploaded Source

Built Distribution

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

anusara-1.18.0-py3-none-any.whl (161.6 kB view details)

Uploaded Python 3

File details

Details for the file anusara-1.18.0.tar.gz.

File metadata

  • Download URL: anusara-1.18.0.tar.gz
  • Upload date:
  • Size: 104.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.18.0.tar.gz
Algorithm Hash digest
SHA256 0ea4739ea92a1c8e1f9af119a36c999391675bca46ef8d08a7c732bc1e7b011f
MD5 8af6537b7d2757de3830cdcd5c7c6a54
BLAKE2b-256 36354cd39fbd24bd0281cdafff69eb3f6504aea2f6b51a64b839a7e3cb9abc15

See more details on using hashes here.

File details

Details for the file anusara-1.18.0-py3-none-any.whl.

File metadata

  • Download URL: anusara-1.18.0-py3-none-any.whl
  • Upload date:
  • Size: 161.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for anusara-1.18.0-py3-none-any.whl
Algorithm Hash digest
SHA256 499aeec18231545f30054b20d808e6325fef40821c4510775ad2aaba8ba2e907
MD5 61c52004cda04c9ea31b53907461e709
BLAKE2b-256 e1f4317f3ce03ddde41bc84a6980817ac835bd276ec495ceb24bb77cc7f52bbc

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