Comparison
AutoAgent vs pentagi
Verdict
Pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments; pick pentagi if pentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated.
Markdown twin · AutoAgent alternatives · pentagi alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | AutoAgent | pentagi |
|---|---|---|
| Maintenance | Slowing (307d since push) As of 1d · github_public_v1 | Active (13d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- AutoAgent
- Fully-Automated and Zero-Code LLM Agent Framework
- pentagi
- Fully autonomous AI Agents system for complex penetration testing tasks
Stars
- AutoAgent
- 9.7k
- pentagi
- 22k
Forks
- AutoAgent
- 1.4k
- pentagi
- 2.9k
Open issues
- AutoAgent
- 68
- pentagi
- 46
Language
- AutoAgent
- Python
- pentagi
- Go
Adopt for
- AutoAgent
- AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments
- pentagi
- PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations.
Persona
- AutoAgent
- -
- pentagi
- -
Runtime
- AutoAgent
- -
- pentagi
- -
License
- AutoAgent
- MIT
- pentagi
- MIT
Last pushed
- AutoAgent
- Oct 16, 2025
- pentagi
- Aug 6, 2026
Categories
- AutoAgent
- AI Agents
- pentagi
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- AutoAgent
- Slowing (36%)
- pentagi
- Active (82%)
Days since push
- AutoAgent
- 307d
- pentagi
- 13d
Open issues (now)
- AutoAgent
- 68
- pentagi
- 46
Stars delta
- AutoAgent
- +242 (30d)
- pentagi
- +910 (30d)
Open issues delta
- AutoAgent
- -1 (30d)
- pentagi
- 0 (30d)
Full report
- AutoAgent
- Trust report
- pentagi
- Trust report
Choose AutoAgent if…
- AutoAgent is primarily Python; pentagi is Go.
- Tags unique to AutoAgent: agent, llms.
- Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
When NOT to use AutoAgent
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly.
- Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
Choose pentagi if…
- pentagi is primarily Go; AutoAgent is Python.
- Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed..
- Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools.
- Also covers Evaluation & Observability.
- pentagi ships Docker support for self-hosted deployment.
- Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention.
When NOT to use pentagi
- Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step.
- Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HKUDS/AutoAgent) · observed Aug 19, 2026
- GitHub forks (HKUDS/AutoAgent) · observed Aug 19, 2026
- Last push (HKUDS/AutoAgent) · observed Oct 16, 2025
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (vxcontrol/pentagi) · observed Aug 20, 2026
- GitHub forks (vxcontrol/pentagi) · observed Aug 20, 2026
- Last push (vxcontrol/pentagi) · observed Aug 6, 2026
- License file (MIT) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoAgent 9.7k · pentagi 22k (synced Aug 19, 2026).
Common questions
- What is the difference between AutoAgent and pentagi?
- AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. pentagi: Fully autonomous AI Agents system for complex penetration testing tasks. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoAgent over pentagi?
- Choose AutoAgent over pentagi when AutoAgent is primarily Python; pentagi is Go; Tags unique to AutoAgent: agent, llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience.
- When should I choose pentagi over AutoAgent?
- Choose pentagi over AutoAgent when pentagi is primarily Go; AutoAgent is Python; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.; Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools; Also covers Evaluation & Observability; pentagi ships Docker support for self-hosted deployment; Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention.
- When should I avoid AutoAgent?
- Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment.
- When should I avoid pentagi?
- Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step. Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license.
- Is AutoAgent or pentagi more popular on GitHub?
- pentagi has more GitHub stars (21,902 vs 9,738). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoAgent and pentagi open source?
- Yes - both are open-source projects on GitHub (AutoAgent: MIT, pentagi: MIT).
- Where can I find alternatives to AutoAgent or pentagi?
- GraphCanon lists graph-backed alternatives at AutoAgent alternatives and pentagi alternatives (AutoAgent markdown twin, pentagi markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, AutoAgent or pentagi?
- AutoAgent: Slowing. pentagi: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for AutoAgent and pentagi?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAgent trust report; pentagi trust report.