Home/Compare/agentos vs AutoGPT

Comparison

agentos vs AutoGPT

Verdict

Pick agentos when agentos is primarily TypeScript; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; agentos is TypeScript.

Markdown twin · agentos alternatives · AutoGPT alternatives

GraphCanon updated today

agentos logo

agentos

framerslab/agentos

591pushed Jul 11, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalagentosAutoGPT
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d 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 lockfile
As of today · none

Tagline

agentos
TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

agentos
591
AutoGPT
185k

Forks

agentos
88
AutoGPT
46k

Open issues

agentos
6
AutoGPT
494

Language

agentos
TypeScript
AutoGPT
Python

Adopt for

agentos
-
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.

Persona

agentos
-
AutoGPT
-

Runtime

agentos
-
AutoGPT
-

License

agentos
Apache-2.0
AutoGPT
Other

Last pushed

agentos
Jul 11, 2026
AutoGPT
Jul 11, 2026

Categories

agentos
LLM Frameworks, AI Agents, Vector Databases
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

agentos
6
AutoGPT
494

Full report

Choose agentos if…

  • agentos is primarily TypeScript; AutoGPT is Python.
  • License: agentos is Apache-2.0, AutoGPT is Other.
  • Tags unique to agentos: ai-agent-framework, agent-framework, emergent-behavior, cognitive-memory.
  • Also covers Vector Databases.

When NOT to use agentos

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • 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.

Choose AutoGPT if…

  • AutoGPT is primarily Python; agentos is TypeScript.
  • License: AutoGPT is Other, agentos is Apache-2.0.
  • Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentos 591 · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between agentos and AutoGPT?
agentos: TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
When should I choose agentos over AutoGPT?
Choose agentos over AutoGPT when agentos is primarily TypeScript; AutoGPT is Python; License: agentos is Apache-2.0, AutoGPT is Other; Tags unique to agentos: ai-agent-framework, agent-framework, emergent-behavior, cognitive-memory; Also covers Vector Databases.
When should I choose AutoGPT over agentos?
Choose AutoGPT over agentos when AutoGPT is primarily Python; agentos is TypeScript; License: AutoGPT is Other, agentos is Apache-2.0; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid agentos?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.
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.
Is agentos or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 591). Stars measure visibility, not whether either tool fits your constraints.
Are agentos and AutoGPT open source?
Yes - both are open-source projects on GitHub (agentos: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to agentos or AutoGPT?
GraphCanon lists graph-backed alternatives at agentos alternatives and AutoGPT alternatives (agentos markdown twin, AutoGPT 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, agentos or AutoGPT?
agentos: Very active. AutoGPT: Very active. 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 agentos and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; AutoGPT trust report.