// Trust & Security Report
Yohei Nakajima (Individual/Open Source)
BabyAGI is an experimental open-source Python framework for building self-building autonomous agents with task planning and function management capabilities. Includes dashboard for managing functions, dependencies, and execution logs.
Certifications held
0
Maturity
Startup
Trains on your data
Unknown
Trust center
No
// Certification ledger
Each held certification is backed by a verbatim quote from the vendor's own trust or security page. “Not confirmed” means we could not verify it publicly, not that the vendor lacks it.
> Show 5 unconfirmed / not-held certifications
source: github.comNo public evidence of SOC 2 Type 1 certification on vendor domains. GitHub security page states: 'This project has not set up a SECURITY.md file yet.'
source: github.comNo public evidence of SOC 2 Type 2 certification on vendor domains. No security policies or audit procedures documented.
source: babyagi.orgNo public evidence of ISO 27001 certification. Project documentation does not reference any information security management system certification.
source: babyagi.orgNo GDPR compliance documentation published. No data processing agreements, DPAs, or GDPR-specific policies available on vendor domains.
source: babyagi.orgNo public evidence of HIPAA compliance. No healthcare data handling policies documented.
// Privacy & AI training
Trains on customer data
Not stated
Data processing agreement
Not offered
Data region
Unknown - depends on user's deployment of upstream services (OpenAI, Pinecone)
Documentation notes that BabyAGI depends on OpenAI GPT models and Pinecone vector database for memory. No published policy on whether customer data/functions are used for training or retained by upstream services. Users are responsible for managing API keys and understanding the privacy practices of integrated third-party services.
// Security controls
Secret Key Management
Framework provides dashboard feature to add, store, and manage secret keys (e.g., API keys) for function execution. Not formally audited.
babyagi.orgExecution Logging
Comprehensive logging system records function executions, inputs, outputs, execution time, errors, and dependencies. Stored locally with framework.
babyagi.orgEncryption in Transit
Not documented. Encryption depends on the user's deployment environment and upstream service connections (OpenAI, Pinecone, etc.).
babyagi.orgFormal Security Policies
No SECURITY.md file, no published security advisories, no vulnerability disclosure process documented.
github.com// Products & data scope
data: Function definitions, dependencies, execution logs stored locally by user. Integrates with external APIs (OpenAI, Pinecone) for AI inference and vector storage.
MIT-licensed Python package installable via pip. Includes dashboard for local function management. Experimental; creator explicitly states 'Not meant for production use.' No professional support or SLA.
// What to watch
- Project explicitly marked as experimental and 'not meant for production use' by creator.
- Creator states: 'This is a framework built by Yohei who has never held a job as a developer.'
- No privacy policy, terms of service, or DPA published on vendor domains.
- No formal security documentation or SECURITY.md file on GitHub.
- No published security advisories or vulnerability disclosure process.
- No organizational certifications (SOC 2, ISO 27001, HIPAA, GDPR compliance) claimed or documented.
- Data privacy and compliance depend entirely on upstream third-party services (OpenAI, Pinecone). Vendor has not published agreements or documentation about data handling with these dependencies.
- No professional support, SLA, or commercial backing indicated.
- Confidence is 'medium' rather than 'high' because: (1) vendor identity is an individual, not a legal entity, making liability/support unclear; (2) data flow through third-party services is documented but data agreements are not; (3) open-source status means contributions and maintenance may vary; (4) no formal security audit trail available.
// At a glance
Pricing model
Free (open source, MIT license). Users pay separately for third-party integrations (OpenAI API, Pinecone, etc.).
Self-hostable
Yes
// How we verified this
Every certification marked HELD is confirmed against a verbatim quote on Yohei Nakajima (Individual/Open Source)'s own trust, security, or privacy pages. We reject certifications claimed only on third-party aggregators, on a cloud host's behalf, or by a similarly named company.
Last verified 2026-07-06. Compliance changes over time. Always confirm directly with the vendor before relying on any certification for a purchasing or compliance decision.
github.com