--- title: "AutoGPT vs agentic-radar" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/significant-gravitas-autogpt-vs-splx-ai-agentic-radar" tools: ["significant-gravitas-autogpt", "splx-ai-agentic-radar"] --- # AutoGPT vs agentic-radar *GraphCanon updated Jul 11, 2026* ## 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. [AutoGPT](https://agpt.co) reports 185k GitHub stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. [agentic-radar](https://splx.ai) has 997 stars, 137 forks, and 15 open issues, last pushed Nov 27, 2025. Figures are from public GitHub metadata via [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT) and [agentic-radar's repository](https://github.com/splx-ai/agentic-radar). | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Tagline | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | A security scanner for your LLM agentic workflows | | Stars | 185,464 | 997 | | Forks | 46,111 | 137 | | Open issues | 494 | 15 | | Language | Python | Python | | Adopt for | 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. | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | LLM Frameworks, AI Agents | Vector Databases, AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [agentic-radar](/tools/splx-ai-agentic-radar.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 225d | | Open issues (now) | 494 | 15 | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/significant-gravitas-autogpt/trust.md) | [trust report](/tools/splx-ai-agentic-radar/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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](/tools/significant-gravitas-autogpt/alternatives) and [agentic-radar alternatives](/tools/splx-ai-agentic-radar/alternatives) ([AutoGPT markdown twin](/tools/significant-gravitas-autogpt/alternatives.md), [agentic-radar markdown twin](/tools/splx-ai-agentic-radar/alternatives.md)), 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](/compare/significant-gravitas-autogpt-vs-splx-ai-agentic-radar.md) 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](/tools/significant-gravitas-autogpt/trust); [agentic-radar trust report](/tools/splx-ai-agentic-radar/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=significant-gravitas-autogpt`](/api/graphcanon/graph?tool=significant-gravitas-autogpt) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_