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

4.5.54

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

This version

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

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-2.2.50.tar.gz (499.6 kB view details)

Uploaded Source

Built Distribution

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

praisonai-2.2.50-cp313-cp313-manylinux_2_39_x86_64.whl (535.2 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ x86-64

File details

Details for the file praisonai-2.2.50.tar.gz.

File metadata

  • Download URL: praisonai-2.2.50.tar.gz
  • Upload date:
  • Size: 499.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.23

File hashes

Hashes for praisonai-2.2.50.tar.gz
Algorithm Hash digest
SHA256 3ae84183f58052be3efba5e6c390af53fd9be2b91964eb273ed79f29b001677d
MD5 1886031889ad437a2bd8cd2c3398c84f
BLAKE2b-256 063dd3d26c69c208a4790d67b62b99c0e2c60fab2077c5e72bdcbcbe7b9417fb

See more details on using hashes here.

File details

Details for the file praisonai-2.2.50-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for praisonai-2.2.50-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 059a3b8d0a1c5023ed191803d32185153c2d2f74bd22d226d15692d8acc3e68f
MD5 f7913691f4b54caf4a77497b5aa8ddaf
BLAKE2b-256 d0c597c23ca350928858c019174eb3830bbcf9cf33a98eca3d8442b68437a363

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