Home/Compare/LangGPT vs Agent-Reach

Comparison

LangGPT vs Agent-Reach

Verdict

Pick LangGPT when langGPT is primarily Jupyter Notebook; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; LangGPT is Jupyter Notebook.

Markdown twin · LangGPT alternatives · Agent-Reach alternatives

GraphCanon updated today

LangGPT logo

LangGPT

langgptai/LangGPT

12kpushed Jun 29, 2026
vs
Agent-Reach logo

Agent-Reach

Panniantong/Agent-Reach

55kpushed Jul 10, 2026

Trust & integrity

SignalLangGPTAgent-Reach
Maintenance
Active (11d 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 · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest

Tagline

LangGPT
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp
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.

Stars

LangGPT
12k
Agent-Reach
55k

Forks

LangGPT
935
Agent-Reach
4.5k

Open issues

LangGPT
0
Agent-Reach
144

Language

LangGPT
Jupyter Notebook
Agent-Reach
Python

Adopt for

LangGPT
-
Agent-Reach
-

Persona

LangGPT
-
Agent-Reach
-

Runtime

LangGPT
-
Agent-Reach
-

License

LangGPT
Apache-2.0
Agent-Reach
MIT

Last pushed

LangGPT
Jun 29, 2026
Agent-Reach
Jul 10, 2026

Categories

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

Trust and health

Maintenance

LangGPT
Active (82%)
Agent-Reach
Very active (96%)

Days since push

LangGPT
11d
Agent-Reach
0d

Open issues (now)

LangGPT
0
Agent-Reach
144

Owner type

LangGPT
Organization
Agent-Reach
User

Security scan

LangGPT
No lockfile
Agent-Reach
No MCP manifest

Full report

Agent-Reach
Trust report

Choose LangGPT if…

  • LangGPT is primarily Jupyter Notebook; Agent-Reach is Python.
  • License: LangGPT is Apache-2.0, Agent-Reach is MIT.
  • Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt.

When NOT to use LangGPT

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

Choose Agent-Reach if…

  • Agent-Reach is primarily Python; LangGPT is Jupyter Notebook.
  • License: Agent-Reach is MIT, LangGPT is Apache-2.0.
  • Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
  • Also covers AI Agents, 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.

Explore

Sources

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

GitHub stars on cards: LangGPT 12k · Agent-Reach 55k (synced Jul 11, 2026).

Common questions

What is the difference between LangGPT and Agent-Reach?
LangGPT: LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-promp. 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.. See the comparison table for live GitHub stats and shared categories.
When should I choose LangGPT over Agent-Reach?
Choose LangGPT over Agent-Reach when LangGPT is primarily Jupyter Notebook; Agent-Reach is Python; License: LangGPT is Apache-2.0, Agent-Reach is MIT; Tags unique to LangGPT: doubao, gemini, gpt-4, chatgpt.
When should I choose Agent-Reach over LangGPT?
Choose Agent-Reach over LangGPT when Agent-Reach is primarily Python; LangGPT is Jupyter Notebook; License: Agent-Reach is MIT, LangGPT is Apache-2.0; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents, Developer Tools.
When should I avoid LangGPT?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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.
Is LangGPT or Agent-Reach more popular on GitHub?
Agent-Reach has more GitHub stars (54,715 vs 12,330). Stars measure visibility, not whether either tool fits your constraints.
Are LangGPT and Agent-Reach open source?
Yes - both are open-source projects on GitHub (LangGPT: Apache-2.0, Agent-Reach: MIT).
Where can I find alternatives to LangGPT or Agent-Reach?
GraphCanon lists graph-backed alternatives at LangGPT alternatives and Agent-Reach alternatives (LangGPT markdown twin, Agent-Reach 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, LangGPT or Agent-Reach?
LangGPT: Active. Agent-Reach: 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 LangGPT and Agent-Reach?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LangGPT trust report; Agent-Reach trust report.