Home/Compare/hivemind vs AutoGPT

Comparison

hivemind vs AutoGPT

Verdict

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

Markdown twin · hivemind alternatives · AutoGPT alternatives

GraphCanon updated today

hivemind logo

hivemind

activeloopai/hivemind

1.5kpushed Jul 11, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

185kpushed Jul 11, 2026

Trust & integrity

SignalhivemindAutoGPT
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of 1d · none

Tagline

hivemind
Hivemind turns your traces into reusable skills across agents
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

hivemind
1.5k
AutoGPT
185k

Forks

hivemind
92
AutoGPT
46k

Open issues

hivemind
41
AutoGPT
494

Language

hivemind
TypeScript
AutoGPT
Python

Adopt for

hivemind
-
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

hivemind
-
AutoGPT
-

Runtime

hivemind
-
AutoGPT
-

License

hivemind
Apache-2.0
AutoGPT
Other

Last pushed

hivemind
Jul 11, 2026
AutoGPT
Jul 11, 2026

Categories

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

Trust and health

Open issues (now)

hivemind
41
AutoGPT
494

Full report

hivemind
Trust report

Choose hivemind if…

  • hivemind is primarily TypeScript; AutoGPT is Python.
  • License: hivemind is Apache-2.0, AutoGPT is Other.
  • Tags unique to hivemind: ai-agents, ai-memory, anthropic, claude-agent-sdk.
  • Also covers Vector Databases.

When NOT to use hivemind

  • 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.
  • 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; hivemind is TypeScript.
  • License: AutoGPT is Other, hivemind is Apache-2.0.
  • Tags unique to AutoGPT: agentic-ai, agents, autonomous-agents, gpt.
  • 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: hivemind 1.5k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between hivemind and AutoGPT?
hivemind: Hivemind turns your traces into reusable skills across agents. 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 hivemind over AutoGPT?
Choose hivemind over AutoGPT when hivemind is primarily TypeScript; AutoGPT is Python; License: hivemind is Apache-2.0, AutoGPT is Other; Tags unique to hivemind: ai-agents, ai-memory, anthropic, claude-agent-sdk; Also covers Vector Databases.
When should I choose AutoGPT over hivemind?
Choose AutoGPT over hivemind when AutoGPT is primarily Python; hivemind is TypeScript; License: AutoGPT is Other, hivemind is Apache-2.0; Tags unique to AutoGPT: agentic-ai, agents, autonomous-agents, gpt; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When should I avoid hivemind?
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. 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 hivemind or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 1,466). Stars measure visibility, not whether either tool fits your constraints.
Are hivemind and AutoGPT open source?
Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, AutoGPT: Other).
Where can I find alternatives to hivemind or AutoGPT?
GraphCanon lists graph-backed alternatives at hivemind alternatives and AutoGPT alternatives (hivemind 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, hivemind or AutoGPT?
hivemind: 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 hivemind and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hivemind trust report; AutoGPT trust report.