Comparison
orloj vs agents-from-scratch
Verdict
Pick orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files; 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.
Markdown twin · orloj alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | orloj | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 12, 2026 · github_public_v1 | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- orloj
- An orchestration runtime for multi-agent AI systems.
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- orloj
- 121
- agents-from-scratch
- 1.0k
Forks
- orloj
- 18
- agents-from-scratch
- 251
Open issues
- orloj
- 39
- agents-from-scratch
- 4
Language
- orloj
- Go
- agents-from-scratch
- Python
Adopt for
- orloj
- Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.
- 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.
Persona
- orloj
- -
- agents-from-scratch
- -
Runtime
- orloj
- -
- agents-from-scratch
- -
License
- orloj
- Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially.
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- orloj
- Sep 11, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- orloj
- AI Agents, Developer Tools
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- orloj
- Very active (96%)
- agents-from-scratch
- Steady (60%)
Days since push
- orloj
- 0d
- agents-from-scratch
- 56d
Open issues (now)
- orloj
- 39
- agents-from-scratch
- 4
Stars delta
- orloj
- +8 (30d)
- agents-from-scratch
- +63 (30d)
Owner type
- orloj
- Organization
- agents-from-scratch
- User
OSV dependency advisories
- orloj
- Published findings
- agents-from-scratch
- No lockfile (source not queried)
Full report
- orloj
- Trust report
- agents-from-scratch
- Trust report
Choose orloj if…
- orloj is primarily Go; agents-from-scratch is Python.
- License: orloj is Apache-2.0, agents-from-scratch is MIT.
- Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files..
- Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance.
- orloj ships Docker support for self-hosted deployment.
- You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.
When NOT to use orloj
- If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment.
- When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; orloj is Go.
- License: agents-from-scratch is MIT, orloj is Apache-2.0.
- 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, llm, local-llm, no-framework.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (OrlojHQ/orloj) · observed Sep 20, 2026
- GitHub forks (OrlojHQ/orloj) · observed Sep 20, 2026
- Last push (OrlojHQ/orloj) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: orloj 121 · agents-from-scratch 1.0k (synced Sep 20, 2026).
Common questions
- What is the difference between orloj and agents-from-scratch?
- orloj: An orchestration runtime for multi-agent AI systems.. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose orloj over agents-from-scratch?
- Choose orloj over agents-from-scratch when orloj is primarily Go; agents-from-scratch is Python; License: orloj is Apache-2.0, agents-from-scratch is MIT; Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.; Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-governance; orloj ships Docker support for self-hosted deployment; You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.
- When should I choose agents-from-scratch over orloj?
- Choose agents-from-scratch over orloj when agents-from-scratch is primarily Python; orloj is Go; License: agents-from-scratch is MIT, orloj is Apache-2.0; 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, llm, local-llm, no-framework; 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 avoid orloj?
- If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.
- 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.
- Is orloj or agents-from-scratch more popular on GitHub?
- agents-from-scratch has more GitHub stars (1,017 vs 121). Stars measure visibility, not whether either tool fits your constraints.
- Are orloj and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (orloj: Apache-2.0, agents-from-scratch: MIT).
- Where can I find alternatives to orloj or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at orloj alternatives and agents-from-scratch alternatives (orloj 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, orloj or agents-from-scratch?
- orloj: Very active. agents-from-scratch: 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 orloj and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: orloj trust report; agents-from-scratch trust report.