AutoGPT
Significant Gravitas
68·Adequate
Overall Trust Score
Autonomous AI agent that attempts to achieve user-defined goals by breaking them into sub-tasks, using internet access, memory management, and file operations. Pioneered the autonomous agent paradigm.
autonomous
experimental
open-source
Trust Vector
Performance & Reliability
68
task completion accuracy65
task completion accuracy
65
Methodology
Based on community feedback and testing
Evidence
Community Reports
Task completion highly variable, works better for well-defined goals
Date: 2024-09-25
Confidence: mediumLast verified: 2025-11-09
tool use reliability72
tool use reliability
72
Methodology
Tool integration testing
Evidence
Confidence: mediumLast verified: 2025-11-09
multi step planning70
multi step planning
70
Methodology
Complex task testing
Evidence
Confidence: mediumLast verified: 2025-11-09
memory persistence75
memory persistence
75
Methodology
Memory system evaluation
Evidence
Confidence: mediumLast verified: 2025-11-09
error recovery62
error recovery
62
Methodology
Error handling testing
Evidence
Confidence: mediumLast verified: 2025-11-09
autonomy level78
autonomy level
78
Methodology
Autonomy assessment
Evidence
Confidence: highLast verified: 2025-11-09
Security
62
tool sandboxing58
tool sandboxing
58
Methodology
Security architecture review
Evidence
Architecture Review
Limited sandboxing, can execute arbitrary code and file operations
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-09
access control65
access control
65
Methodology
Access control assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
prompt injection defense60
prompt injection defense
60
Methodology
Injection attack testing
Evidence
Confidence: lowLast verified: 2025-11-09
data isolation68
data isolation
68
Methodology
Data architecture review
Evidence
Confidence: mediumLast verified: 2025-11-09
open source transparency92
open source transparency
92
Methodology
Source code review
Evidence
Confidence: highLast verified: 2025-11-09
Privacy & Compliance
70
data retention75
data retention
75
Methodology
Privacy architecture review
Evidence
Confidence: mediumLast verified: 2025-11-09
gdpr compliance68
gdpr compliance
68
Methodology
Compliance capabilities assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
third party data sharing65
third party data sharing
65
Methodology
Data flow analysis
Evidence
Confidence: mediumLast verified: 2025-11-09
local deployment option78
local deployment option
78
Methodology
Deployment options assessment
Evidence
Confidence: highLast verified: 2025-11-09
Trust & Transparency
76
documentation quality72
documentation quality
72
Methodology
Documentation completeness review
Evidence
Confidence: mediumLast verified: 2025-11-09
execution traceability74
execution traceability
74
Methodology
Logging capabilities assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
decision explainability76
decision explainability
76
Methodology
Explainability features assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
open source code92
open source code
92
Methodology
Open source assessment
Evidence
Confidence: highLast verified: 2025-11-09
community activity65
community activity
65
Methodology
Community engagement analysis
Evidence
Confidence: mediumLast verified: 2025-11-09
Operational Excellence
65
ease of integration70
ease of integration
70
Methodology
Integration complexity assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
scalability62
scalability
62
Methodology
Scalability testing
Evidence
Confidence: mediumLast verified: 2025-11-09
cost predictability60
cost predictability
60
Methodology
Cost analysis
Evidence
Confidence: mediumLast verified: 2025-11-09
Note: Can rack up significant API costs in continuous mode
monitoring capabilities65
monitoring capabilities
65
Methodology
Monitoring features assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
production readiness58
production readiness
58
Methodology
Production readiness assessment
Evidence
Confidence: mediumLast verified: 2025-11-09
✨ Strengths
- •Pioneered the autonomous agent paradigm and concept
- •High level of autonomy for unattended task execution
- •Massive community interest and open source transparency
- •Good for experimentation and research into agent capabilities
- •Local deployment with full user control
- •Internet access and file operation capabilities
⚠️ Limitations
- •Unpredictable behavior and task completion reliability
- •Significant security concerns with broad permissions
- •High and unpredictable API costs in autonomous mode
- •Can get stuck in loops or lose focus on goals
- •Not production-ready for critical applications
- •Limited enterprise features and compliance capabilities
📊 Metadata
license: MIT
supported models:
0: OpenAI GPT-4
1: GPT-3.5
2: Local LLMs (experimental)
programming languages:
0: Python
deployment type: Self-hosted
tool support:
0: Web browsing
1: File operations
2: Code execution
3: Plugins
github stars: 180000+
first release: 2023
latest release: autogpt-platform-beta-v0.6.36 (November 2025)
Use Case Ratings
customer support
62
Too autonomous and unpredictable for customer-facing applications
code generation
68
Can generate code but may lack consistency and quality controls
research assistant
72
Can perform research tasks but results quality varies
data analysis
65
Limited data analysis capabilities, better tools available
content creation
70
Can create content but quality control challenging
education
58
Too unpredictable for educational applications
healthcare
35
Not suitable for healthcare due to security and reliability concerns
financial analysis
40
Insufficient security and compliance features for financial services
legal compliance
45
Too unpredictable and lacks necessary security for legal work
creative writing
75
Experimental nature can be useful for creative exploration