Comparison
Agent-Reach vs Learning-Prompt
Verdict
Pick Agent-Reach when agent-Reach is primarily Python; Learning-Prompt is CSS; pick Learning-Prompt when learning-Prompt is primarily CSS; Agent-Reach is Python.
Markdown twin · Agent-Reach alternatives · Learning-Prompt alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | Learning-Prompt |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (1028d 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 MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
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.
- Learning-Prompt
- Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!
Stars
- Agent-Reach
- 55k
- Learning-Prompt
- 5.3k
Forks
- Agent-Reach
- 4.5k
- Learning-Prompt
- 396
Open issues
- Agent-Reach
- 144
- Learning-Prompt
- 16
Language
- Agent-Reach
- Python
- Learning-Prompt
- CSS
Adopt for
- Agent-Reach
- -
- Learning-Prompt
- -
Persona
- Agent-Reach
- -
- Learning-Prompt
- -
Runtime
- Agent-Reach
- -
- Learning-Prompt
- -
License
- Agent-Reach
- MIT
- Learning-Prompt
- Other
Last pushed
- Agent-Reach
- Jul 10, 2026
- Learning-Prompt
- Sep 17, 2023
Categories
- Agent-Reach
- LLM Frameworks, AI Agents, Developer Tools
- Learning-Prompt
- LLM Frameworks, Developer Tools
Trust and health
Maintenance
- Agent-Reach
- Very active (96%)
- Learning-Prompt
- Dormant (18%)
Days since push
- Agent-Reach
- 0d
- Learning-Prompt
- 1028d
Open issues (now)
- Agent-Reach
- 144
- Learning-Prompt
- 16
Security scan
- Agent-Reach
- No MCP manifest
- Learning-Prompt
- No lockfile
Full report
- Agent-Reach
- Trust report
- Learning-Prompt
- Trust report
Choose Agent-Reach if…
- Agent-Reach is primarily Python; Learning-Prompt is CSS.
- License: Agent-Reach is MIT, Learning-Prompt is Other.
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code.
- Also covers AI Agents.
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.
Choose Learning-Prompt if…
- Learning-Prompt is primarily CSS; Agent-Reach is Python.
- License: Learning-Prompt is Other, Agent-Reach is MIT.
- Tags unique to Learning-Prompt: prompt-toolkit, css, prompt, prompt-engineering.
When NOT to use Learning-Prompt
- Last GitHub push was 1029 days ago (dormant maintenance, Sep 17, 2023). Validate activity before betting a new project on Learning-Prompt.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 (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 (thinkingjimmy/Learning-Prompt) · observed Jul 11, 2026
- GitHub forks (thinkingjimmy/Learning-Prompt) · observed Jul 11, 2026
- Last push (thinkingjimmy/Learning-Prompt) · observed Sep 17, 2023
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · Learning-Prompt 5.3k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and Learning-Prompt?
- 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.. Learning-Prompt: Free prompt engineering online course. ChatGPT and Midjourney tutorials are now included!. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over Learning-Prompt?
- Choose Agent-Reach over Learning-Prompt when Agent-Reach is primarily Python; Learning-Prompt is CSS; License: Agent-Reach is MIT, Learning-Prompt is Other; Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude-code; Also covers AI Agents.
- When should I choose Learning-Prompt over Agent-Reach?
- Choose Learning-Prompt over Agent-Reach when Learning-Prompt is primarily CSS; Agent-Reach is Python; License: Learning-Prompt is Other, Agent-Reach is MIT; Tags unique to Learning-Prompt: prompt-toolkit, css, prompt, prompt-engineering.
- 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 Learning-Prompt?
- Last GitHub push was 1029 days ago (dormant maintenance, Sep 17, 2023). Validate activity before betting a new project on Learning-Prompt. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Agent-Reach or Learning-Prompt more popular on GitHub?
- Agent-Reach has more GitHub stars (54,715 vs 5,319). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and Learning-Prompt open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, Learning-Prompt: Other).
- Where can I find alternatives to Agent-Reach or Learning-Prompt?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and Learning-Prompt alternatives (Agent-Reach markdown twin, Learning-Prompt 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 Learning-Prompt?
- Agent-Reach: Very active. Learning-Prompt: Dormant. 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 Learning-Prompt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; Learning-Prompt trust report.