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 1w
vs
Trust & integrity
| Signal | agents-from-scratch | AgentGPT |
|---|---|---|
| Maintenance | Active (18d since push) As of 1w · github_public_v1 | Archived (466d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 954
- AgentGPT
- 36k
Forks
- agents-from-scratch
- 240
- AgentGPT
- 9.3k
Open issues
- agents-from-scratch
- 3
- 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
- Active (82%)
- AgentGPT
- Archived (8%)
Days since push
- agents-from-scratch
- 18d
- AgentGPT
- 466d
Archived on GitHub
- agents-from-scratch
- No
- AgentGPT
- Yes
Open issues (now)
- agents-from-scratch
- 3
- AgentGPT
- 219
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 (pguso/agents-from-scratch) · observed Aug 12, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Aug 12, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (reworkd/AgentGPT) · observed Aug 8, 2026
- GitHub forks (reworkd/AgentGPT) · observed Aug 8, 2026
- Last push (reworkd/AgentGPT) · observed Apr 29, 2025
- License file (GPL-3.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agents-from-scratch 954 · AgentGPT 36k (synced Aug 12, 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 (36,304 vs 954). 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: Active. 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.