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
vs
Trust & integrity
| Signal | LangGPT | Agent-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
- LangGPT
- Trust 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 (langgptai/LangGPT) · observed Jul 11, 2026
- GitHub forks (langgptai/LangGPT) · observed Jul 11, 2026
- Last push (langgptai/LangGPT) · observed Jun 29, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.