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 , 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 , 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

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

This version

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-2.2.21.tar.gz (492.4 kB view details)

Uploaded Source

Built Distribution

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

praisonai-2.2.21-cp313-cp313-manylinux_2_39_x86_64.whl (529.0 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.39+ x86-64

File details

Details for the file praisonai-2.2.21.tar.gz.

File metadata

  • Download URL: praisonai-2.2.21.tar.gz
  • Upload date:
  • Size: 492.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.22

File hashes

Hashes for praisonai-2.2.21.tar.gz
Algorithm Hash digest
SHA256 d01a337f65e79631c1a38c26c0d73606e94a6043bfd46e9025df1ee8abec5aa7
MD5 d81275c001a371edc1f40a755c16b181
BLAKE2b-256 4bba746cdd2f31217aec4553655800deedb950bc8882f099477a2c383a5f1e2a

See more details on using hashes here.

File details

Details for the file praisonai-2.2.21-cp313-cp313-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for praisonai-2.2.21-cp313-cp313-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 6695157ca9cbed7867678af87c19025321d27c09d8ce8120eccdea0ec5f6cb41
MD5 3f7fd118c9bb77148da3fdd9a7ddb09d
BLAKE2b-256 63cd7f3e9e5f5f7c04df2a7e146498750e7f92ff7d5e4986919ebcf4dc1af39e

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