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

This version

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-2.2.38.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-2.2.38-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-2.2.38.tar.gz.

File metadata

  • Download URL: praisonai-2.2.38.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-2.2.38.tar.gz
Algorithm Hash digest
SHA256 02502ed7266e5506dc3327f91ffc6493fdc0142578c0cb45a0391d4fbb1b4fcc
MD5 6a68be49647a1f31e874eb458fe9d3ba
BLAKE2b-256 5383f3bf9c06c482954856706e59450f8629a8254a53e7ea1618782fee9b0260

See more details on using hashes here.

File details

Details for the file praisonai-2.2.38-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for praisonai-2.2.38-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 0c2ac037c61f14fbaa8f8cd80618b1540b47fed56c4893bfdfd5b47526e3bd1e
MD5 c9d54170b537098459fbdb7d9db45cc6
BLAKE2b-256 94bfbaa3eef2067c1f6f6495698dc282ca3a832f3271eb00b5aa0e936541ee7c

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