Comparison
AutoGPT vs agentic-radar
Verdict
Pick AutoGPT when license: AutoGPT is Other, agentic-radar is Apache-2.0; pick agentic-radar when license: agentic-radar is Apache-2.0, AutoGPT is Other.
Markdown twin · AutoGPT alternatives · agentic-radar alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | AutoGPT | agentic-radar |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (225d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · mcp_manifest@v1 |
Tagline
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
- agentic-radar
- A security scanner for your LLM agentic workflows
Stars
- AutoGPT
- 185k
- agentic-radar
- 997
Forks
- AutoGPT
- 46k
- agentic-radar
- 137
Open issues
- AutoGPT
- 494
- agentic-radar
- 15
Language
- AutoGPT
- Python
- agentic-radar
- Python
Adopt for
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
- agentic-radar
- -
Persona
- AutoGPT
- -
- agentic-radar
- -
Runtime
- AutoGPT
- -
- agentic-radar
- -
License
- AutoGPT
- Other
- agentic-radar
- Apache-2.0
Last pushed
- AutoGPT
- Jul 11, 2026
- agentic-radar
- Nov 27, 2025
Categories
- AutoGPT
- AI Agents, LLM Frameworks
- agentic-radar
- AI Agents, Vector Databases, LLM Frameworks
Trust and health
Maintenance
- AutoGPT
- Very active (96%)
- agentic-radar
- Slowing (36%)
Days since push
- AutoGPT
- 0d
- agentic-radar
- 225d
Open issues (now)
- AutoGPT
- 494
- agentic-radar
- 15
Security scan
- AutoGPT
- No lockfile
- agentic-radar
- No criticals
Full report
- AutoGPT
- Trust report
- agentic-radar
- Trust report
Choose AutoGPT if…
- License: AutoGPT is Other, agentic-radar is Apache-2.0.
- Tags unique to AutoGPT: agents, llm, artificial-intelligence, autonomous-agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
Choose agentic-radar if…
- License: agentic-radar is Apache-2.0, AutoGPT is Other.
- Tags unique to agentic-radar: agentic-framework, agentic-workflow, ai-security, cli.
- Also covers Vector Databases.
When NOT to use agentic-radar
- Last GitHub push was 226 days ago (slowing maintenance, Nov 27, 2025). Validate activity before betting a new project on agentic-radar.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (splx-ai/agentic-radar) · observed Jul 11, 2026
- GitHub forks (splx-ai/agentic-radar) · observed Jul 11, 2026
- Last push (splx-ai/agentic-radar) · observed Nov 27, 2025
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: AutoGPT 185k · agentic-radar 997 (synced Jul 11, 2026).
Common questions
- What is the difference between AutoGPT and agentic-radar?
- AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. agentic-radar: A security scanner for your LLM agentic workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose AutoGPT over agentic-radar?
- Choose AutoGPT over agentic-radar when License: AutoGPT is Other, agentic-radar is Apache-2.0; Tags unique to AutoGPT: agents, llm, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- When should I choose agentic-radar over AutoGPT?
- Choose agentic-radar over AutoGPT when License: agentic-radar is Apache-2.0, AutoGPT is Other; Tags unique to agentic-radar: agentic-framework, agentic-workflow, ai-security, cli; Also covers Vector Databases.
- When should I avoid AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- When should I avoid agentic-radar?
- Last GitHub push was 226 days ago (slowing maintenance, Nov 27, 2025). Validate activity before betting a new project on agentic-radar. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is AutoGPT or agentic-radar more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 997). Stars measure visibility, not whether either tool fits your constraints.
- Are AutoGPT and agentic-radar open source?
- Yes - both are open-source projects on GitHub (AutoGPT: Other, agentic-radar: Apache-2.0).
- Where can I find alternatives to AutoGPT or agentic-radar?
- GraphCanon lists graph-backed alternatives at AutoGPT alternatives and agentic-radar alternatives (AutoGPT markdown twin, agentic-radar 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, AutoGPT or agentic-radar?
- AutoGPT: Very active. agentic-radar: Slowing. 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 AutoGPT and agentic-radar?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoGPT trust report; agentic-radar trust report.