GPT-5.6 (Sol / Terra / Luna) is now evaluated on TrustVector — with day-1 independent verification, incl. METR's benchmark-cheating findings.

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Evaluation record · autogpt

AutoGPT

v0.6.61

Significant Gravitas

Agentautonomousexperimentalopen-source
68
Adequate
About This Agent

Autonomous AI agent project that pioneered the autonomous agent paradigm. Development has shifted from the classic self-hosted agent to the AutoGPT Platform (still in beta as of mid-2026), a visual agent builder with workflow automation, an expanding plugin/block ecosystem, and cloud-hosted deployment alongside self-hosting. The repository remains one of the most starred open-source projects (185k+ stars) with active development.

Last Evaluated: July 9, 2026
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+
task completion accuracy

Based on community feedback and testing

Evidence
Community Reports — Task completion highly variable, works better for well-defined goals
mediumVerified: 2026-07-09
tool use reliability

Tool integration testing

Evidence
AutoGPT Plugins — Plugin system for tools, reliability varies by plugin
mediumVerified: 2026-07-09
multi step planning

Complex task testing

Evidence
Autonomous Planning — Can plan multi-step tasks but may lose focus on complex goals
mediumVerified: 2026-07-09
memory persistence

Memory system evaluation

Evidence
Memory System — Vector-based long-term memory with local storage
mediumVerified: 2026-07-09
error recovery

Error handling testing

Evidence
User Feedback — Limited error recovery, can get stuck in loops
mediumVerified: 2026-07-09
autonomy level

Autonomy assessment

Evidence
Autonomous Operation — High autonomy with continuous mode for unattended operation
highVerified: 2026-07-09
🛡️Security
+
tool sandboxing

Security architecture review

Evidence
Architecture Review — Limited sandboxing, can execute arbitrary code and file operations
mediumVerified: 2026-07-09
access control

Access control assessment

Evidence
Configuration — Basic access controls via configuration, requires careful setup
mediumVerified: 2026-07-09
prompt injection defense

Injection attack testing

Evidence
Security Concerns — Vulnerable to prompt injection due to autonomous nature
lowVerified: 2026-07-09
data isolation

Data architecture review

Evidence
Local Storage — Data stored locally per agent instance
mediumVerified: 2026-07-09
open source transparency

Source code review

Evidence
GitHub Repository — MIT licensed, 185k+ stars, fully transparent code
highVerified: 2026-07-09
🔒Privacy & Compliance
+
data retention

Privacy architecture review

Evidence
Local Operation — Data stored locally, full user control
mediumVerified: 2026-07-09
gdpr compliance

Compliance capabilities assessment

Evidence
Self-Hosted — GDPR compliance possible but requires careful configuration
mediumVerified: 2026-07-09
third party data sharing

Data flow analysis

Evidence
LLM Integration — Data sent to OpenAI API and potentially web services accessed
mediumVerified: 2026-07-09
local deployment option

Deployment options assessment

Evidence
Local LLM Support — Can work with local LLMs but optimized for OpenAI
highVerified: 2026-07-09
👁️Trust & Transparency
+
documentation quality

Documentation completeness review

Evidence
AutoGPT Docs — Documentation available but can be sparse for advanced features
mediumVerified: 2026-07-09
execution traceability

Logging capabilities assessment

Evidence
Logging Features — Basic logging of agent actions and thoughts
mediumVerified: 2026-07-09
decision explainability

Explainability features assessment

Evidence
Agent Thoughts — Agent 'thoughts' provide some insight into reasoning
mediumVerified: 2026-07-09
open source code

Open source assessment

Evidence
GitHub Repository — MIT licensed, 185k+ stars, pioneering autonomous agent project
highVerified: 2026-07-09
community activity

Community engagement analysis

Evidence
GitHub Activity — Activity has decreased from peak, focus shifting to AutoGPT Platform
GitHub Repository / Releases — Development active on AutoGPT Platform: repo pushed 2026-07-09, 185k+ stars, steady platform beta releases through 2026 (v0.6.61, May 2026)
mediumVerified: 2026-07-09
⚙️Operational Excellence
+
ease of integration

Integration complexity assessment

Evidence
Setup Guide — Setup can be complex with multiple dependencies
mediumVerified: 2026-07-09
scalability

Scalability testing

Evidence
Architecture Limitations — Not designed for high-scale production deployments
mediumVerified: 2026-07-09
cost predictability

Cost analysis

Evidence
Token Usage — Autonomous operation can lead to unpredictable token consumption
mediumVerified: 2026-07-09
monitoring capabilities

Monitoring features assessment

Evidence
Monitoring Features — Basic monitoring through logs, limited production tooling
mediumVerified: 2026-07-09
production readiness

Production readiness assessment

Evidence
Project Status — More experimental than production-ready, better for research
mediumVerified: 2026-07-09
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: 185000+
first release: 2023
latest release: autogpt-platform-beta-v0.6.61 (May 2026)
platform status: AutoGPT Platform in beta (visual agent builder, cloud or self-hosted); classic agent no longer the development focus

Use Case Ratings

customer support

Too autonomous and unpredictable for customer-facing applications

code generation

Can generate code but may lack consistency and quality controls

research assistant

Can perform research tasks but results quality varies

data analysis

Limited data analysis capabilities, better tools available

content creation

Can create content but quality control challenging

education

Too unpredictable for educational applications

healthcare

Not suitable for healthcare due to security and reliability concerns

financial analysis

Insufficient security and compliance features for financial services

legal compliance

Too unpredictable and lacks necessary security for legal work

creative writing

Experimental nature can be useful for creative exploration