Comparison
Prompt-Engineering-Guide vs aigis
Verdict
Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; aigis is Python; pick aigis when aigis is primarily Python; Prompt-Engineering-Guide is MDX.
Markdown twin · Prompt-Engineering-Guide alternatives · aigis alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Prompt-Engineering-Guide | aigis |
|---|---|---|
| Maintenance | Slowing (121d since push) As of 4d · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Personal 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
- aigis
- Deterministic, zero-dependency Python firewall for AI agents, MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).
Stars
- Prompt-Engineering-Guide
- 76k
- aigis
- 51
Forks
- Prompt-Engineering-Guide
- 8.4k
- aigis
- 8
Open issues
- Prompt-Engineering-Guide
- 274
- aigis
- 8
Language
- Prompt-Engineering-Guide
- MDX
- aigis
- Python
Adopt for
- Prompt-Engineering-Guide
- Decision-critical facts for Prompt-Engineering-Guide
- aigis
- -
Persona
- Prompt-Engineering-Guide
- -
- aigis
- -
Runtime
- Prompt-Engineering-Guide
- -
- aigis
- -
License
- Prompt-Engineering-Guide
- MIT
- aigis
- Apache-2.0
Last pushed
- Prompt-Engineering-Guide
- Mar 11, 2026
- aigis
- Jul 14, 2026
Categories
- Prompt-Engineering-Guide
- AI Agents, LLM Frameworks
- aigis
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- Prompt-Engineering-Guide
- Slowing (36%)
- aigis
- Very active (96%)
Days since push
- Prompt-Engineering-Guide
- 121d
- aigis
- 1d
Open issues (now)
- Prompt-Engineering-Guide
- 274
- aigis
- 8
Owner type
- Prompt-Engineering-Guide
- Organization
- aigis
- User
OSV dependency advisories
- Prompt-Engineering-Guide
- No published findings from this source as of 2026-07-11
- aigis
- No lockfile (source not queried)
Full report
- Prompt-Engineering-Guide
- Trust report
- aigis
- Trust report
Choose Prompt-Engineering-Guide if…
- Prompt-Engineering-Guide is primarily MDX; aigis is Python.
- License: Prompt-Engineering-Guide is MIT, aigis is Apache-2.0.
- Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, chatgpt.
- 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 aigis if…
- aigis is primarily Python; Prompt-Engineering-Guide is MDX.
- License: aigis is Apache-2.0, Prompt-Engineering-Guide is MIT.
- Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity.
- Also covers Vector Databases.
- aigis ships Docker support for self-hosted deployment.
When NOT to use aigis
- 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 (killertcell428/aigis) · observed Jul 15, 2026
- GitHub forks (killertcell428/aigis) · observed Jul 15, 2026
- Last push (killertcell428/aigis) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Prompt-Engineering-Guide 76k · aigis 51 (synced Jul 11, 2026).
Common questions
- What is the difference between Prompt-Engineering-Guide and aigis?
- Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. aigis: Deterministic, zero-dependency Python firewall for AI agents, MCP rug-pull, memory poisoning, indirect injection, exfil channels. 44 compliance templates (US/CN/JP/EU).. See the comparison table for live GitHub stats and shared categories.
- When should I choose Prompt-Engineering-Guide over aigis?
- Choose Prompt-Engineering-Guide over aigis when Prompt-Engineering-Guide is primarily MDX; aigis is Python; License: Prompt-Engineering-Guide is MIT, aigis is Apache-2.0; Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, chatgpt; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques.
- When should I choose aigis over Prompt-Engineering-Guide?
- Choose aigis over Prompt-Engineering-Guide when aigis is primarily Python; Prompt-Engineering-Guide is MDX; License: aigis is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; Also covers Vector Databases; aigis ships Docker support for self-hosted deployment.
- 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 aigis?
- 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 aigis more popular on GitHub?
- Prompt-Engineering-Guide has more GitHub stars (76,349 vs 51). Stars measure visibility, not whether either tool fits your constraints.
- Are Prompt-Engineering-Guide and aigis open source?
- Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, aigis: Apache-2.0).
- Where can I find alternatives to Prompt-Engineering-Guide or aigis?
- GraphCanon lists graph-backed alternatives at Prompt-Engineering-Guide alternatives and aigis alternatives (Prompt-Engineering-Guide markdown twin, aigis 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 aigis?
- Prompt-Engineering-Guide: Slowing. aigis: 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 Prompt-Engineering-Guide and aigis?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Prompt-Engineering-Guide trust report; aigis trust report.