Comparison
Prompt-Engineering-Guide vs awesome-ai-agents-security
Verdict
Pick Prompt-Engineering-Guide when license: Prompt-Engineering-Guide is MIT, awesome-ai-agents-security is Other; pick awesome-ai-agents-security when license: awesome-ai-agents-security is Other, Prompt-Engineering-Guide is MIT.
Markdown twin · Prompt-Engineering-Guide alternatives · awesome-ai-agents-security alternatives
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Trust & integrity
| Signal | Prompt-Engineering-Guide | awesome-ai-agents-security |
|---|---|---|
| Maintenance | Slowing (121d since push) As of 4d · github_public_v1 | Steady (32d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 4d · osv@v1 | No lockfile (source not queried) As of today · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Prompt-Engineering-Guide
- Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents
- awesome-ai-agents-security
- A living map of the AI agent security ecosystem.
Stars
- Prompt-Engineering-Guide
- 76k
- awesome-ai-agents-security
- 54
Forks
- Prompt-Engineering-Guide
- 8.4k
- awesome-ai-agents-security
- 62
Open issues
- Prompt-Engineering-Guide
- 274
- awesome-ai-agents-security
- 50
Language
- Prompt-Engineering-Guide
- MDX
- awesome-ai-agents-security
- -
Adopt for
- Prompt-Engineering-Guide
- Decision-critical facts for Prompt-Engineering-Guide
- awesome-ai-agents-security
- -
Persona
- Prompt-Engineering-Guide
- -
- awesome-ai-agents-security
- -
Runtime
- Prompt-Engineering-Guide
- -
- awesome-ai-agents-security
- -
License
- Prompt-Engineering-Guide
- MIT
- awesome-ai-agents-security
- Other
Last pushed
- Prompt-Engineering-Guide
- Mar 11, 2026
- awesome-ai-agents-security
- Jun 12, 2026
Categories
- Prompt-Engineering-Guide
- AI Agents, LLM Frameworks
- awesome-ai-agents-security
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- Prompt-Engineering-Guide
- Slowing (36%)
- awesome-ai-agents-security
- Steady (60%)
Days since push
- Prompt-Engineering-Guide
- 121d
- awesome-ai-agents-security
- 32d
Open issues (now)
- Prompt-Engineering-Guide
- 274
- awesome-ai-agents-security
- 50
OSV dependency advisories
- Prompt-Engineering-Guide
- No published findings from this source as of 2026-07-11
- awesome-ai-agents-security
- No lockfile (source not queried)
Full report
- Prompt-Engineering-Guide
- Trust report
- awesome-ai-agents-security
- Trust report
Choose Prompt-Engineering-Guide if…
- License: Prompt-Engineering-Guide is MIT, awesome-ai-agents-security is Other.
- Tags unique to Prompt-Engineering-Guide: agent, agents, chatgpt, deep-learning.
- When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
When NOT to use Prompt-Engineering-Guide
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting.
- Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
Choose awesome-ai-agents-security if…
- License: awesome-ai-agents-security is Other, Prompt-Engineering-Guide is MIT.
- Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, awesome, awesome-list.
- Also covers Vector Databases.
When NOT to use awesome-ai-agents-security
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- GitHub forks (dair-ai/Prompt-Engineering-Guide) · observed Jul 11, 2026
- Last push (dair-ai/Prompt-Engineering-Guide) · observed Mar 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ProjectRecon/awesome-ai-agents-security) · observed Jul 15, 2026
- GitHub forks (ProjectRecon/awesome-ai-agents-security) · observed Jul 15, 2026
- Last push (ProjectRecon/awesome-ai-agents-security) · observed Jun 12, 2026
- License file (Other) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Prompt-Engineering-Guide 76k · awesome-ai-agents-security 54 (synced Jul 11, 2026).
Common questions
- What is the difference between Prompt-Engineering-Guide and awesome-ai-agents-security?
- Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. awesome-ai-agents-security: A living map of the AI agent security ecosystem.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Prompt-Engineering-Guide over awesome-ai-agents-security?
- Choose Prompt-Engineering-Guide over awesome-ai-agents-security when License: Prompt-Engineering-Guide is MIT, awesome-ai-agents-security is Other; Tags unique to Prompt-Engineering-Guide: agent, agents, chatgpt, deep-learning; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
- When should I choose awesome-ai-agents-security over Prompt-Engineering-Guide?
- Choose awesome-ai-agents-security over Prompt-Engineering-Guide when License: awesome-ai-agents-security is Other, Prompt-Engineering-Guide is MIT; Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, awesome, awesome-list; Also covers Vector Databases.
- When should I avoid Prompt-Engineering-Guide?
- Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning.
- When should I avoid awesome-ai-agents-security?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is Prompt-Engineering-Guide or awesome-ai-agents-security more popular on GitHub?
- Prompt-Engineering-Guide has more GitHub stars (76,349 vs 54). Stars measure visibility, not whether either tool fits your constraints.
- Are Prompt-Engineering-Guide and awesome-ai-agents-security open source?
- Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, awesome-ai-agents-security: Other).
- Where can I find alternatives to Prompt-Engineering-Guide or awesome-ai-agents-security?
- GraphCanon lists graph-backed alternatives at Prompt-Engineering-Guide alternatives and awesome-ai-agents-security alternatives (Prompt-Engineering-Guide markdown twin, awesome-ai-agents-security 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, Prompt-Engineering-Guide or awesome-ai-agents-security?
- Prompt-Engineering-Guide: Slowing. awesome-ai-agents-security: Steady. 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 Prompt-Engineering-Guide and awesome-ai-agents-security?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Prompt-Engineering-Guide trust report; awesome-ai-agents-security trust report.