Home/Compare/agent-framework vs agents-from-scratch

Comparison

agent-framework vs agents-from-scratch

Verdict

Pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments; 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 · agent-framework alternatives · agents-from-scratch alternatives

GraphCanon updated Sep 20, 2026

12views this month

agent-framework logo

agent-framework

microsoft/agent-framework

14kpushed Sep 18, 2026
vs
agents-from-scratch logo

agents-from-scratch

pguso/agents-from-scratch

1.0kpushed Jul 25, 2026

Trust & integrity

Signalagent-frameworkagents-from-scratch
Maintenance
Very active (0d since push)
As of Sep 18, 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 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 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 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

agent-framework
Framework for building and deploying AI agents and multi-agent workflows
agents-from-scratch
Build AI agents locally without relying on frameworks or cloud APIs.

Stars

agent-framework
14k
agents-from-scratch
1.0k

Forks

agent-framework
2.3k
agents-from-scratch
251

Open issues

agent-framework
605
agents-from-scratch
4

Language

agent-framework
Python
agents-from-scratch
Python

Adopt for

agent-framework
The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.
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

agent-framework
-
agents-from-scratch
-

Runtime

agent-framework
-
agents-from-scratch
-

License

agent-framework
MIT
agents-from-scratch
MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.

Last pushed

agent-framework
Sep 18, 2026
agents-from-scratch
Jul 25, 2026

Categories

agent-framework
AI Agents, Developer Tools
agents-from-scratch
AI Agents, Developer Tools

Trust and health

Maintenance

agent-framework
Very active (96%)
agents-from-scratch
Steady (60%)

Days since push

agent-framework
0d
agents-from-scratch
56d

Open issues (now)

agent-framework
605
agents-from-scratch
4

Stars delta

agent-framework
+855 (30d)
agents-from-scratch
+63 (30d)

Open issues delta

agent-framework
-80 (30d)
agents-from-scratch
+1 (30d)

Owner type

agent-framework
Organization
agents-from-scratch
User

Full report

agent-framework
Trust report
agents-from-scratch
Trust report

Shared compatibility

  • Python · agent-framework: Python runtime · agents-from-scratch: Python runtime

Choose agent-framework if…

  • Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
  • Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
  • Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

When NOT to use agent-framework

  • Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
  • Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

Choose agents-from-scratch if…

  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-framework 14k · agents-from-scratch 1.0k (synced Sep 20, 2026).

Common questions

What is the difference between agent-framework and agents-from-scratch?
agent-framework: Framework for building and deploying AI agents and multi-agent workflows. 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 agent-framework over agents-from-scratch?
Choose agent-framework over agents-from-scratch when Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.
When should I choose agents-from-scratch over agent-framework?
Choose agents-from-scratch over agent-framework when 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 avoid agent-framework?
Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.
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 agent-framework or agents-from-scratch more popular on GitHub?
agent-framework has more GitHub stars (13,573 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
Are agent-framework and agents-from-scratch open source?
Yes - both are open-source projects on GitHub (agent-framework: MIT, agents-from-scratch: MIT).
Where can I find alternatives to agent-framework or agents-from-scratch?
GraphCanon lists graph-backed alternatives at agent-framework alternatives and agents-from-scratch alternatives (agent-framework 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, agent-framework or agents-from-scratch?
agent-framework: 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 agent-framework and agents-from-scratch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-framework trust report; agents-from-scratch trust report.

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