PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for praison from gravatar.com praison

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Mervin Praison
  • Requires: Python >=3.10
  • Provides-Extra: agentops , anthropic , api , autogen , call , chat , code , cohere , crewai , google , gradio , openai , realtime , train , ui
Classifiers
Report project as malware

Project description

PraisonAI Package

This is the PraisonAI package, which serves as a wrapper for PraisonAIAgents.

It provides a simple and intuitive interface for working with AI agents and their capabilities.

Directory Structure

The main package code is located in the praisonai subdirectory.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for praison from gravatar.com praison

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author: Mervin Praison
  • Requires: Python >=3.10
  • Provides-Extra: agentops , anthropic , api , autogen , call , chat , code , cohere , crewai , google , gradio , openai , realtime , train , ui
Classifiers

Release history Release notifications | RSS feed

4.5.60

4.5.59

4.5.58

4.5.57

4.5.56

4.5.55

4.5.54

4.5.52

4.5.51

4.5.49

4.5.48

4.5.46

4.5.45

4.5.44

4.5.43

4.5.42

4.5.41

4.5.40

4.5.39

4.5.38

4.5.37

4.5.36

4.5.35

4.5.34

4.5.33

4.5.32

4.5.31

4.5.30

4.5.29

4.5.28

4.5.27

4.5.26

4.5.25

4.5.24

4.5.23

4.5.22

4.5.21

4.5.20

4.5.19

4.5.18

4.5.16

4.5.15

4.5.14

4.5.13

4.5.12

4.5.11

4.5.10

4.5.9

4.5.8

4.5.7

4.5.6

4.5.5

4.5.3

4.5.2

4.5.1

4.5.0

4.4.12

4.4.11

4.4.10

4.4.9

4.4.8

4.4.7

4.4.6

4.4.5

4.4.4

4.4.3

4.4.2

4.4.0

4.3.1

4.3.0

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.0

4.0.0

3.12.3

3.12.2

3.12.1

3.12.0

3.11.14

3.11.13

3.11.12

3.11.11

3.11.10

3.11.9

3.11.8

3.11.4

3.11.3

3.11.2

3.11.1

3.11.0

3.10.27

3.10.26

3.10.25

3.10.24

3.10.23

3.10.22

3.10.21

3.10.20

3.10.19

3.10.18

3.10.17

3.10.16

3.10.15

3.10.14

3.10.13

3.10.12

3.10.11

3.10.10

3.10.9

3.10.8

3.10.7

3.10.6

3.10.5

3.10.4

3.10.3

3.10.2

3.10.1

3.10.0

3.9.35

3.9.34

3.9.33

3.9.32

3.9.31

3.9.30

3.9.29

3.9.28

3.9.27

3.9.26

3.9.25

3.9.24

3.9.23

3.9.22

3.9.21

3.9.20

3.9.19

3.9.18

3.9.17

3.9.16

3.9.15

3.9.14

3.9.13

3.9.12

3.9.11

3.9.10

3.9.9

3.9.8

3.9.7

3.9.6

3.9.5

3.9.4

3.9.3

3.9.2

3.9.1

3.9.0

3.8.22

3.8.21

3.8.20

3.8.19

3.8.18

3.8.17

3.8.16

3.8.14

3.8.13

3.8.12

3.8.11

3.8.10

3.8.9

3.8.8

3.8.7

3.8.6

3.8.5

3.8.4

3.8.3

3.8.2

3.8.1

3.8.0

3.7.9

3.7.8

3.7.7

3.7.6

3.7.5

3.7.4

3.7.3

3.7.2

3.7.1

3.7.0

3.6.2

3.6.1

3.6.0

3.5.9

3.5.8

3.5.7

3.5.6

3.5.5

3.5.4

3.5.3

3.5.2

3.5.1

3.5.0

3.4.1

3.4.0

3.3.1

3.3.0

3.2.1

3.2.0

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.9

3.0.8

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.9.2

2.9.1

2.9.0

2.8.9

2.8.8

2.8.7

2.8.6

2.8.5

2.8.4

2.8.3

2.7.0

2.6.8

2.6.7

2.6.6

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.87

2.3.86

2.3.85

2.3.84

2.3.83

2.3.82

2.3.81

2.3.80

2.3.79

2.3.78

2.3.77

2.3.76

2.3.75

2.3.74

2.3.73

2.3.72

2.3.71

2.3.70

2.3.69

2.3.68

2.3.67

2.3.66

2.3.65

2.3.64

2.3.63

2.3.62

2.3.61

2.3.60

2.3.59

2.3.58

2.3.57

2.3.56

2.3.55

2.3.54

2.3.53

2.3.52

2.3.51

2.3.50

2.3.49

2.3.48

2.3.47

2.3.46

2.3.45

2.3.44

2.3.43

2.3.42

2.3.41

2.3.40

2.3.39

2.3.38

2.3.37

2.3.36

2.3.35

2.3.34

2.3.33

2.3.32

2.3.31

2.3.30

2.3.29

2.3.28

2.3.27

2.3.26

2.3.25

2.3.24

2.3.23

2.3.22

2.3.21

2.3.20

2.3.19

2.3.18

2.3.16

2.3.15

2.3.14

2.3.13

2.3.12

2.3.11

2.3.10

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.99

2.2.98

2.2.97

2.2.96

2.2.95

2.2.93

2.2.91

2.2.90

2.2.89

2.2.88

2.2.87

2.2.86

2.2.84

2.2.83

2.2.82

2.2.81

2.2.80

2.2.79

2.2.78

2.2.77

2.2.76

2.2.75

2.2.74

2.2.73

2.2.72

2.2.71

2.2.70

2.2.69

2.2.68

2.2.67

2.2.66

2.2.65

2.2.64

2.2.63

2.2.62

2.2.61

2.2.60

2.2.59

2.2.58

2.2.57

2.2.56

2.2.55

2.2.54

2.2.53

2.2.52

2.2.51

2.2.50

2.2.49

2.2.48

2.2.47

2.2.46

2.2.45

2.2.44

2.2.43

2.2.42

2.2.41

2.2.40

2.2.39

2.2.38

2.2.37

2.2.36

2.2.35

2.2.34

2.2.33

This version

2.2.32

2.2.31

2.2.30

2.2.29

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.22

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.1.6

2.1.5

2.1.4

2.1.1

2.1.0

2.0.81

2.0.80

2.0.79

2.0.78

2.0.77

2.0.76

2.0.75

2.0.74

2.0.73

2.0.72

2.0.71

2.0.70

2.0.69

2.0.68

2.0.67

2.0.66

2.0.65

2.0.64

2.0.63

2.0.62

2.0.61

2.0.60

2.0.59

2.0.58

2.0.57

2.0.56

2.0.55

2.0.54

2.0.53

2.0.51

2.0.50

2.0.49

2.0.48

2.0.47

2.0.46

2.0.45

2.0.44

2.0.43

2.0.42

2.0.41

2.0.40

2.0.39

2.0.38

2.0.37

2.0.36

2.0.35

2.0.34

2.0.33

2.0.32

2.0.31

2.0.30

2.0.29

2.0.28

2.0.27

2.0.26

2.0.25

2.0.24

2.0.23

2.0.22

2.0.20

2.0.19

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.3

2.0.2

2.0.1

2.0.0

1.0.11

1.0.10

1.0.9

1.0.8

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.74

0.0.73

0.0.72

0.0.71

0.0.70

0.0.69

0.0.68

0.0.67

0.0.66

0.0.65

0.0.64

0.0.61

0.0.59

0.0.59rc11 pre-release

0.0.59rc9 pre-release

0.0.59rc8 pre-release

0.0.59rc7 pre-release

0.0.59rc6 pre-release

0.0.59rc5 pre-release

0.0.59rc3 pre-release

0.0.59rc2 pre-release

0.0.58

0.0.57

0.0.56

0.0.55

0.0.54

0.0.53

0.0.52

0.0.50

0.0.49

0.0.48

0.0.47

0.0.46

0.0.45

0.0.44

0.0.43

0.0.42

0.0.41

0.0.40

0.0.39

0.0.38

0.0.37

0.0.36

0.0.35

0.0.34

0.0.33

0.0.32

0.0.31

0.0.30

0.0.29

0.0.28

0.0.27

0.0.26

0.0.25

0.0.24

0.0.23

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

praisonai-2.2.32.tar.gz (494.9 kB view details)

Uploaded Source

Built Distribution

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

praisonai-2.2.32-cp313-cp313-manylinux_2_39_x86_64.whl (530.8 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ x86-64

File details

Details for the file praisonai-2.2.32.tar.gz.

File metadata

  • Download URL: praisonai-2.2.32.tar.gz
  • Upload date:
  • Size: 494.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for praisonai-2.2.32.tar.gz
Algorithm Hash digest
SHA256 d2cecdbb380499de948557f42e8872200cde492725435c78a3c4bed6a1eb6831
MD5 cd470507a208b244f3632b776cdc8dc0
BLAKE2b-256 b5fda93af579bce7c974f344bd545376a474d2172f055b75a56cad79b7073d1a

See more details on using hashes here.

File details

Details for the file praisonai-2.2.32-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for praisonai-2.2.32-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 d8c014e04a6a4757dba0cc36b9a12d838e1e7bdeb65fee263230b24244f5ff97
MD5 4b3822cfd1da09f5bf82e74b7748f063
BLAKE2b-256 dd707bfbf6a618322e92bc21f43eaa286343bfde07fa01eb0d689173747bfb8f

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