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Comparison

Agent-Reach vs AutoGPT

Verdict

Pick Agent-Reach when license: Agent-Reach is MIT, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, Agent-Reach is MIT.

Markdown twin · Agent-Reach alternatives · AutoGPT alternatives

GraphCanon updated today

Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

★ 55kpushed Jul 10, 2026
vs
AutoGPT logo

AutoGPT

Significant-Gravitas/AutoGPT

★ 185kpushed Jul 11, 2026

Trust & integrity

SignalAgent-ReachAutoGPT
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 · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No lockfile
As of today · none
Agent-Reach trust reportAutoGPT trust reportTrust methodology

Tagline

Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on.

Stars

Agent-Reach
55k
AutoGPT
185k

Forks

Agent-Reach
4.5k
AutoGPT
46k

Open issues

Agent-Reach
144
AutoGPT
494

Language

Agent-Reach
Python
AutoGPT
Python

Adopt for

Agent-Reach
-
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

Agent-Reach
-
AutoGPT
-

Runtime

Agent-Reach
-
AutoGPT
-

License

Agent-Reach
MIT
AutoGPT
Other

Last pushed

Agent-Reach
Jul 10, 2026
AutoGPT
Jul 11, 2026

Categories

Agent-Reach
LLM Frameworks, AI Agents, Developer Tools
AutoGPT
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

Agent-Reach
144
AutoGPT
494

Owner type

Agent-Reach
User
AutoGPT
Organization

Security scan

Agent-Reach
No MCP manifest
AutoGPT
No lockfile

Full report

Agent-Reach
Trust report
AutoGPT
Trust report

Choose Agent-Reach if…

  • License: Agent-Reach is MIT, AutoGPT is Other.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
  • Also covers Developer Tools.

When NOT to use Agent-Reach

  • 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.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
GitHubDetails

Choose AutoGPT if…

  • License: AutoGPT is Other, Agent-Reach is MIT.
  • 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.
GitHubDetails

Explore

Agent-Reach trust report →AutoGPT trust report →LLM Frameworks category →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: Agent-Reach 55k · AutoGPT 185k (synced Jul 11, 2026).

Common questions

What is the difference between Agent-Reach and AutoGPT?
Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. 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 Agent-Reach over AutoGPT?
Choose Agent-Reach over AutoGPT when License: Agent-Reach is MIT, AutoGPT is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers Developer Tools.
When should I choose AutoGPT over Agent-Reach?
Choose AutoGPT over Agent-Reach when License: AutoGPT is Other, Agent-Reach is MIT; 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 Agent-Reach?
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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 Agent-Reach or AutoGPT more popular on GitHub?
AutoGPT has more GitHub stars (185,464 vs 54,715). Stars measure visibility, not whether either tool fits your constraints.
Are Agent-Reach and AutoGPT open source?
Yes - both are open-source projects on GitHub (Agent-Reach: MIT, AutoGPT: Other).
Where can I find alternatives to Agent-Reach or AutoGPT?
GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and AutoGPT alternatives (Agent-Reach 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, Agent-Reach or AutoGPT?
Agent-Reach: 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 Agent-Reach and AutoGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; AutoGPT trust report.