Comparison
agents-from-scratch vs agor
Verdict
Pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies; pick agor if agor is a team-centric development platform built for orchestrating AI agents in coding and collaboration tasks.
Markdown twin · agents-from-scratch alternatives · agor alternatives
GraphCanon updated Sep 20, 2026
21views this month
vs
Trust & integrity
| Signal | agents-from-scratch | agor |
|---|---|---|
| Maintenance | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 19, 2026 · 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
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
- agor
- team command center for all things agentic
Stars
- agents-from-scratch
- 1.0k
- agor
- 1.4k
Forks
- agents-from-scratch
- 251
- agor
- 121
Open issues
- agents-from-scratch
- 4
- agor
- 219
Language
- agents-from-scratch
- Python
- agor
- TypeScript
Adopt for
- agents-from-scratch
- agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
- agor
- Agor is a team-centric development platform built for orchestrating AI agents in coding and collaboration tasks.
Persona
- agents-from-scratch
- -
- agor
- -
Runtime
- agents-from-scratch
- -
- agor
- -
License
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
- agor
- Other
Last pushed
- agents-from-scratch
- Jul 25, 2026
- agor
- Sep 19, 2026
Categories
- agents-from-scratch
- AI Agents, Developer Tools
- agor
- AI Agents, Developer Tools
Trust and health
Maintenance
- agents-from-scratch
- Steady (60%)
- agor
- Very active (96%)
Days since push
- agents-from-scratch
- 56d
- agor
- 0d
Open issues (now)
- agents-from-scratch
- 4
- agor
- 219
Stars delta
- agents-from-scratch
- +63 (30d)
- agor
- +47 (30d)
Open issues delta
- agents-from-scratch
- +1 (30d)
- agor
- -35 (30d)
Owner type
- agents-from-scratch
- User
- agor
- Organization
Full report
- agents-from-scratch
- Trust report
- agor
- Trust report
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; agor is TypeScript.
- License: agents-from-scratch is MIT, agor is Other.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
When NOT to use agents-from-scratch
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
Choose agor if…
- agor is primarily TypeScript; agents-from-scratch is Python.
- License: agor is Other, agents-from-scratch is MIT.
- Tags unique to agor: agent-orchestration, agentic, ai-coding, coding-assistant.
- agor ships Docker support for self-hosted deployment.
- Use Agor if your project requires real-time collaboration and orchestration of multiple AI agents such as Codex and Claude.
When NOT to use agor
- Avoid using Agor if your team is not adept at managing AI-driven development workflows and does not require real-time collaboration on a codebase.
- Do not opt for Agor when you need standalone coding assistance without the team-centric approach or agent orchestration capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (preset-io/agor) · observed Sep 20, 2026
- GitHub forks (preset-io/agor) · observed Sep 20, 2026
- Last push (preset-io/agor) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 19, 2026
GitHub stars on cards: agents-from-scratch 1.0k · agor 1.4k (synced Sep 20, 2026).
Common questions
- What is the difference between agents-from-scratch and agor?
- agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. agor: team command center for all things agentic. See the comparison table for live GitHub stats and shared categories.
- When should I choose agents-from-scratch over agor?
- Choose agents-from-scratch over agor when agents-from-scratch is primarily Python; agor is TypeScript; License: agents-from-scratch is MIT, agor is Other; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
- When should I choose agor over agents-from-scratch?
- Choose agor over agents-from-scratch when agor is primarily TypeScript; agents-from-scratch is Python; License: agor is Other, agents-from-scratch is MIT; Tags unique to agor: agent-orchestration, agentic, ai-coding, coding-assistant; agor ships Docker support for self-hosted deployment; Use Agor if your project requires real-time collaboration and orchestration of multiple AI agents such as Codex and Claude.
- When should I avoid agents-from-scratch?
- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
- When should I avoid agor?
- Avoid using Agor if your team is not adept at managing AI-driven development workflows and does not require real-time collaboration on a codebase. Do not opt for Agor when you need standalone coding assistance without the team-centric approach or agent orchestration capabilities.
- Is agents-from-scratch or agor more popular on GitHub?
- agor has more GitHub stars (1,406 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
- Are agents-from-scratch and agor open source?
- Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, agor: Other).
- Where can I find alternatives to agents-from-scratch or agor?
- GraphCanon lists graph-backed alternatives at agents-from-scratch alternatives and agor alternatives (agents-from-scratch markdown twin, agor 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, agents-from-scratch or agor?
- agents-from-scratch: Steady. agor: 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 agents-from-scratch and agor?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents-from-scratch trust report; agor trust report.