AI Agent · Reviewed 2026-07-23
pguso/ai-agents-from-scratch
STEADY · 80/100
A popular, honest 'build AI agents from scratch' teaching repo — high-value for learning, but a curriculum, not a deployable agent.
Visit pguso/ai-agents-from-scratch →With 4.4k stars, an MIT license and a substantial README, this is a well-received educational resource for understanding how agents actually work — function calling, memory and ReAct patterns, on local LLMs with no black boxes. It is important to set expectations from the repository surface: there are no tagged releases and no CI, because this is a learning codebase rather than a maintained product. You read it and rebuild from it; you don't depend on it as a package. Judged on those terms it is strong and does exactly what it promises. Repo-surface read.
Why STEADY
STEADY (80). Strong traction, a permissive MIT license, and a substantial, purpose-fit README clear STEADY for an educational resource. It is intentionally not a product — no releases, no CI, no packaged surface — so the higher bands, which assume an operable product, don't apply.
What it does well
- MIT-licensed with strong traction (4.4k stars) for an educational repo
- Substantial README (~14.5k chars)
- Teaches real, transferable patterns (function calling, memory, ReAct)
- Local-LLM, no-black-box approach that builds genuine understanding
What it fails at
- Not a product or deployable agent — no releases, no CI, no packaged surface
- No agent-consumable interface
- Value is pedagogical, not operational
Best for
- Engineers learning how agents work under the hood
- Teams wanting a from-scratch reference before adopting a framework
Not recommended for
- Production deployment
- Anyone needing a supported or packaged agent
- Agent pipelines needing a programmatic API
Related agents
Agent relevance
No programmatic surfaces
Agentic-Commerce Readiness 19/100 · CLOSED
Independent readiness for agent delegation & transaction. How it’s scored · check live
An educational reference codebase — not intended for agent consumption. No hands-on behavioral test performed.
Agent-friendly score: 2/10
What we saw
1 screenshot captured by the Hlido engine during the reviewed run (run-5921345201e65402-github-com). Our own captures — not vendor marketing material.
Evidence
Public-surface checklist
- ✓ repo_reachable (required) — GH API 200 for pguso/ai-agents-from-scratch
- ✓ readme_present (required) — README length 14496
- ✓ license_present (required) — MIT
- ✓ install_documented (required) — install/usage section found in README
- ✓ active_12mo (required) — last push 46d ago
- ✗ releases_present — no releases
- ✓ community_traction — 4406 stars
- ✗ ci_or_tests — no .github/workflows
- ✓ recent_commit_90d — last push 46d ago
- ✗ agent_consumable — none found
scorecard.json · registry · methodology
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