Comparison
chatgpt_system_prompt vs Agent-Reach
Verdict
Pick chatgpt_system_prompt when chatgpt_system_prompt is primarily HTML; Agent-Reach is Python; pick Agent-Reach when agent-Reach is primarily Python; chatgpt_system_prompt is HTML.
Markdown twin · chatgpt_system_prompt alternatives · Agent-Reach alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | chatgpt_system_prompt | Agent-Reach |
|---|---|---|
| Maintenance | Very active (4d 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 · 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
- chatgpt_system_prompt
- A collection of GPT system prompts and various prompt injection/leaking knowledge.
- 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
- chatgpt_system_prompt
- 11k
- Agent-Reach
- 55k
Forks
- chatgpt_system_prompt
- 1.5k
- Agent-Reach
- 4.5k
Open issues
- chatgpt_system_prompt
- 1
- Agent-Reach
- 144
Language
- chatgpt_system_prompt
- HTML
- Agent-Reach
- Python
Adopt for
- chatgpt_system_prompt
- -
- Agent-Reach
- -
Persona
- chatgpt_system_prompt
- -
- Agent-Reach
- -
Runtime
- chatgpt_system_prompt
- -
- Agent-Reach
- -
License
- chatgpt_system_prompt
- MIT
- Agent-Reach
- MIT
Last pushed
- chatgpt_system_prompt
- Jul 7, 2026
- Agent-Reach
- Jul 10, 2026
Categories
- chatgpt_system_prompt
- LLM Frameworks
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
Trust and health
Days since push
- chatgpt_system_prompt
- 4d
- Agent-Reach
- 0d
Open issues (now)
- chatgpt_system_prompt
- 1
- Agent-Reach
- 144
Security scan
- chatgpt_system_prompt
- No lockfile
- Agent-Reach
- No MCP manifest
Full report
- chatgpt_system_prompt
- Trust report
- Agent-Reach
- Trust report
Choose chatgpt_system_prompt if…
- chatgpt_system_prompt is primarily HTML; Agent-Reach is Python.
- Tags unique to chatgpt_system_prompt: html, gpt, prompt, prompt-engineering.
- Leaner open-issue backlog (1).
When NOT to use chatgpt_system_prompt
- 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; chatgpt_system_prompt is HTML.
- 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 (LouisShark/chatgpt_system_prompt) · observed Jul 11, 2026
- GitHub forks (LouisShark/chatgpt_system_prompt) · observed Jul 11, 2026
- Last push (LouisShark/chatgpt_system_prompt) · observed Jul 7, 2026
- License file (MIT) · 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: chatgpt_system_prompt 11k · Agent-Reach 55k (synced Jul 11, 2026).
Common questions
- What is the difference between chatgpt_system_prompt and Agent-Reach?
- chatgpt_system_prompt: A collection of GPT system prompts and various prompt injection/leaking knowledge.. 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 chatgpt_system_prompt over Agent-Reach?
- Choose chatgpt_system_prompt over Agent-Reach when chatgpt_system_prompt is primarily HTML; Agent-Reach is Python; Tags unique to chatgpt_system_prompt: html, gpt, prompt, prompt-engineering; Leaner open-issue backlog (1).
- When should I choose Agent-Reach over chatgpt_system_prompt?
- Choose Agent-Reach over chatgpt_system_prompt when Agent-Reach is primarily Python; chatgpt_system_prompt is HTML; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code; Also covers AI Agents, Developer Tools.
- When should I avoid chatgpt_system_prompt?
- 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 chatgpt_system_prompt or Agent-Reach more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 10,669). Stars measure visibility, not whether either tool fits your constraints.
- Are chatgpt_system_prompt and Agent-Reach open source?
- Yes - both are open-source projects on GitHub (chatgpt_system_prompt: MIT, Agent-Reach: MIT).
- Where can I find alternatives to chatgpt_system_prompt or Agent-Reach?
- GraphCanon lists graph-backed alternatives at chatgpt_system_prompt alternatives and Agent-Reach alternatives (chatgpt_system_prompt 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, chatgpt_system_prompt or Agent-Reach?
- chatgpt_system_prompt: Very 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 chatgpt_system_prompt and Agent-Reach?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chatgpt_system_prompt trust report; Agent-Reach trust report.