Comparison
Prompt-Engineering-Guide vs agents-from-scratch
Verdict
Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; agents-from-scratch is Python; pick agents-from-scratch when agents-from-scratch is primarily Python; Prompt-Engineering-Guide is MDX.
Markdown twin · Prompt-Engineering-Guide alternatives · agents-from-scratch alternatives
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vs
Trust & integrity
| Signal | Prompt-Engineering-Guide | agents-from-scratch |
|---|---|---|
| Maintenance | Slowing (121d since push) As of 4d · github_public_v1 | Slowing (182d 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
- agents-from-scratch
- Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.
Stars
- Prompt-Engineering-Guide
- 76k
- agents-from-scratch
- 901
Forks
- Prompt-Engineering-Guide
- 8.4k
- agents-from-scratch
- 226
Open issues
- Prompt-Engineering-Guide
- 274
- agents-from-scratch
- 6
Language
- Prompt-Engineering-Guide
- MDX
- agents-from-scratch
- Python
Adopt for
- Prompt-Engineering-Guide
- Decision-critical facts for Prompt-Engineering-Guide
- agents-from-scratch
- -
Persona
- Prompt-Engineering-Guide
- -
- agents-from-scratch
- -
Runtime
- Prompt-Engineering-Guide
- -
- agents-from-scratch
- -
License
- Prompt-Engineering-Guide
- MIT
- agents-from-scratch
- MIT
Last pushed
- Prompt-Engineering-Guide
- Mar 11, 2026
- agents-from-scratch
- Jan 14, 2026
Categories
- Prompt-Engineering-Guide
- AI Agents, LLM Frameworks
- agents-from-scratch
- AI Agents, LLM Frameworks
Trust and health
Days since push
- Prompt-Engineering-Guide
- 121d
- agents-from-scratch
- 182d
Open issues (now)
- Prompt-Engineering-Guide
- 274
- agents-from-scratch
- 6
Owner type
- Prompt-Engineering-Guide
- Organization
- agents-from-scratch
- User
OSV dependency advisories
- Prompt-Engineering-Guide
- No published findings from this source as of 2026-07-11
- agents-from-scratch
- No lockfile (source not queried)
Full report
- Prompt-Engineering-Guide
- Trust report
- agents-from-scratch
- Trust report
Choose Prompt-Engineering-Guide if…
- Prompt-Engineering-Guide is primarily MDX; agents-from-scratch is Python.
- 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 agents-from-scratch if…
- agents-from-scratch is primarily Python; Prompt-Engineering-Guide is MDX.
- Tags unique to agents-from-scratch: agent-architecture, ai-education, ai-from-scratch, artificial-intelligence.
- Leaner open-issue backlog (6).
When NOT to use agents-from-scratch
- Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on agents-from-scratch.
- 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.
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 (pguso/agents-from-scratch) · observed Jul 15, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Jul 15, 2026
- Last push (pguso/agents-from-scratch) · observed Jan 14, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Prompt-Engineering-Guide 76k · agents-from-scratch 901 (synced Jul 11, 2026).
Common questions
- What is the difference between Prompt-Engineering-Guide and agents-from-scratch?
- Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. agents-from-scratch: Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no hidden reasoning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Prompt-Engineering-Guide over agents-from-scratch?
- Choose Prompt-Engineering-Guide over agents-from-scratch when Prompt-Engineering-Guide is primarily MDX; agents-from-scratch is Python; 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 agents-from-scratch over Prompt-Engineering-Guide?
- Choose agents-from-scratch over Prompt-Engineering-Guide when agents-from-scratch is primarily Python; Prompt-Engineering-Guide is MDX; Tags unique to agents-from-scratch: agent-architecture, ai-education, ai-from-scratch, artificial-intelligence; Leaner open-issue backlog (6).
- 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 agents-from-scratch?
- Last GitHub push was 182 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on agents-from-scratch. 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.
- Is Prompt-Engineering-Guide or agents-from-scratch more popular on GitHub?
- Prompt-Engineering-Guide has more GitHub stars (76,349 vs 901). Stars measure visibility, not whether either tool fits your constraints.
- Are Prompt-Engineering-Guide and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, agents-from-scratch: MIT).
- Where can I find alternatives to Prompt-Engineering-Guide or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at Prompt-Engineering-Guide alternatives and agents-from-scratch alternatives (Prompt-Engineering-Guide markdown twin, agents-from-scratch 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 agents-from-scratch?
- Prompt-Engineering-Guide: Slowing. agents-from-scratch: Slowing. 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 agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Prompt-Engineering-Guide trust report; agents-from-scratch trust report.