Home/Compare/agents-from-scratch vs AgentGPT

Comparison

agents-from-scratch vs AgentGPT

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 AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable.

Markdown twin · agents-from-scratch alternatives · AgentGPT alternatives

GraphCanon updated Sep 20, 2026

21views this month

agents-from-scratch logo

agents-from-scratch

pguso/agents-from-scratch

★ 1.0kpushed Jul 25, 2026
vs
AgentGPT logo

AgentGPT

reworkd/AgentGPT

★ 36kpushed Apr 29, 2025

Trust & integrity

Signalagents-from-scratchAgentGPT
Maintenance
Steady (56d since push)
As of Sep 20, 2026 · github_public_v1
Archived (497d since push)
As of Sep 8, 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 8, 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 11, 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.
AgentGPT
Assembler for autonomous AI Agents

Stars

agents-from-scratch
1.0k
AgentGPT
36k

Forks

agents-from-scratch
251
AgentGPT
9.3k

Open issues

agents-from-scratch
4
AgentGPT
219

Language

agents-from-scratch
Python
AgentGPT
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.
AgentGPT
AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects

Persona

agents-from-scratch
-
AgentGPT
-

Runtime

agents-from-scratch
-
AgentGPT
-

License

agents-from-scratch
MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
AgentGPT
GPL-3.0

Last pushed

agents-from-scratch
Jul 25, 2026
AgentGPT
Apr 29, 2025

Categories

agents-from-scratch
AI Agents, Developer Tools
AgentGPT
AI Agents, Developer Tools

Trust and health

Maintenance

agents-from-scratch
Steady (60%)
AgentGPT
Archived (8%)

Days since push

agents-from-scratch
56d
AgentGPT
497d

Archived on GitHub

agents-from-scratch
No
AgentGPT
Yes

Open issues (now)

agents-from-scratch
4
AgentGPT
219

Stars delta

agents-from-scratch
+63 (30d)
AgentGPT
-7 (30d)

Open issues delta

agents-from-scratch
+1 (30d)
AgentGPT
0 (30d)

Owner type

agents-from-scratch
User
AgentGPT
Organization

Full report

agents-from-scratch
Trust report
AgentGPT
Trust report

Choose agents-from-scratch if…

  • agents-from-scratch is primarily Python; AgentGPT is TypeScript.
  • License: agents-from-scratch is MIT, AgentGPT is GPL-3.0.
  • 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, 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 AgentGPT if…

  • AgentGPT is primarily TypeScript; agents-from-scratch is Python.
  • License: AgentGPT is GPL-3.0, agents-from-scratch is MIT.
  • Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
  • AgentGPT ships Docker support for self-hosted deployment.
  • When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI

When NOT to use AgentGPT

  • Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
  • Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment

Explore

Sources

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

GitHub stars on cards: agents-from-scratch 1.0k · AgentGPT 36k (synced Sep 20, 2026).

Common questions

What is the difference between agents-from-scratch and AgentGPT?
agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
When should I choose agents-from-scratch over AgentGPT?
Choose agents-from-scratch over AgentGPT when agents-from-scratch is primarily Python; AgentGPT is TypeScript; License: agents-from-scratch is MIT, AgentGPT is GPL-3.0; 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, 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 AgentGPT over agents-from-scratch?
Choose AgentGPT over agents-from-scratch when AgentGPT is primarily TypeScript; agents-from-scratch is Python; License: AgentGPT is GPL-3.0, agents-from-scratch is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
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 AgentGPT?
Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
Is agents-from-scratch or AgentGPT more popular on GitHub?
AgentGPT has more GitHub stars (36,297 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.
Are agents-from-scratch and AgentGPT open source?
Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, AgentGPT: GPL-3.0).
Where can I find alternatives to agents-from-scratch or AgentGPT?
GraphCanon lists graph-backed alternatives at agents-from-scratch alternatives and AgentGPT alternatives (agents-from-scratch markdown twin, AgentGPT 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 AgentGPT?
agents-from-scratch: Steady. AgentGPT: Archived. 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 AgentGPT?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agents-from-scratch trust report; AgentGPT trust report.

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