GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
SkyAGI is a development tool focusing on simulating human behavior using large language models and is available under the Apache-2.0 license.
Good fit when
- if you aim to integrate highly dynamic, human-like behavioral characteristics in AI agents within your application
- for projects that require emergent behaviors derived from advanced natural language processing capabilities
Avoid when
- if your project does not need the complexity of simulating detailed human behavior through LLMs and prefers more straightforward automations
- when you have constraints that do not allow for third-party API usage, as SkyAGI depends on an external OPENAI_API_KEY to function
- Requirements:
- It requires a valid OpenAI API key for operational purposes.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (1094d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install skyagiSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool for simulating human behavior using large language models.
Capability facts
- Languages
- typescript
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
pip install --upgrade skyagiSource link
Tags
README
Quick Start Installation Or How to run ```sh export OPENAI API KEY="..." skyagi
For agents
This page has a .md twin and JSON over the API.