Project Graph

GreyDGL/PentestGPT

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

GreyDGL/PentestGPT graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes84
Edges408
Projects40
Dependencies32

Project Context

PentestGPT

MaintainerGreyDGL
LicenseMIT
LanguagePython
Recent activityActive in the last quarter

Deployment Targets

dockervercelserverlesslocal

Dependencies

LLM provider

Knowledge Graph

84 nodes / 408 edges

GreyDGL/PentestGPT focus agent framewo… category docker deployment vercel deployment serverless deployment local deployment build agents … use case orchestrate L… use case prototype aut… use case LLM provider dependency langchain project agentscope project omnigent project ai project pydantic-ai project

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

GreyDGL/PentestGPT -> langchain-ai/langchainCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:docker, deployment:local, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: vercel, serverless.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
GreyDGL/PentestGPT -> agentscope-ai/agentscopeCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:docker, deployment:local, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: vercel, serverless. License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
GreyDGL/PentestGPT -> omnigent-ai/omnigentCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:docker, deployment:serverless, deployment:local, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: vercel. License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases

build agents with PentestGPTorchestrate LLM toolsprototype autonomous workflows

Categories

agent framework

Alternatives

langchain-ai/langchainagentscope-ai/agentscopeomnigent-ai/omnigentpydantic/pydantic-aiSignificant-Gravitas/AutoGPTe2b-dev/E2B

Related Projects

vercel/aipydantic/pydantic-aiSignificant-Gravitas/AutoGPTe2b-dev/E2Bsupermemoryai/supermemorycharmbracelet/crush