Home/Compare/just-chat vs agents-from-scratch

Comparison

just-chat vs agents-from-scratch

Verdict

Pick just-chat if just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions; 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.

Markdown twin · just-chat alternatives · agents-from-scratch alternatives

GraphCanon updated 1w

just-chat logo

just-chat

longevity-genie/just-chat

74pushed Nov 22, 2025
vs
agents-from-scratch logo

agents-from-scratch

pguso/agents-from-scratch

954pushed Jul 25, 2026

Trust & integrity

Signaljust-chatagents-from-scratch
Maintenance
Slowing (258d since push)
As of 2w · github_public_v1
Active (18d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 1w · 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

just-chat
Make your LLM agent and chat with it simple and fast!
agents-from-scratch
Build AI agents locally without relying on frameworks or cloud APIs.

Stars

just-chat
74
agents-from-scratch
954

Forks

just-chat
13
agents-from-scratch
240

Open issues

just-chat
2
agents-from-scratch
3

Language

just-chat
Python
agents-from-scratch
Python

Adopt for

just-chat
just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions.
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

just-chat
-
agents-from-scratch
-

Runtime

just-chat
-
agents-from-scratch
-

License

just-chat
Apache-2.0
agents-from-scratch
MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.

Last pushed

just-chat
Nov 22, 2025
agents-from-scratch
Jul 25, 2026

Categories

just-chat
AI Agents, Developer Tools
agents-from-scratch
AI Agents, Developer Tools

Trust and health

Maintenance

just-chat
Slowing (36%)
agents-from-scratch
Active (82%)

Days since push

just-chat
258d
agents-from-scratch
18d

Open issues (now)

just-chat
2
agents-from-scratch
3

Owner type

just-chat
Organization
agents-from-scratch
User

Full report

just-chat
Trust report
agents-from-scratch
Trust report

Choose just-chat if…

  • License: just-chat is Apache-2.0, agents-from-scratch is MIT.
  • Tags unique to just-chat: chatbot, docker composition, llm-agent, podman support.
  • just-chat ships Docker support for self-hosted deployment.
  • When you need to quickly set up and interact with an LLM-based AI agent without extensive configuration.

When NOT to use just-chat

  • If your workflow does not support Docker or Podman, as these are the only supported deployment environments.
  • When you are using Ubuntu 22.04 with the default Podman version (v3), which requires manual installation since it is not fully compatible with just-chat's setup.

Choose agents-from-scratch if…

  • License: agents-from-scratch is MIT, just-chat 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, 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: just-chat 74 · agents-from-scratch 954 (synced Aug 8, 2026).

Common questions

What is the difference between just-chat and agents-from-scratch?
just-chat: Make your LLM agent and chat with it simple and fast!. 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 just-chat over agents-from-scratch?
Choose just-chat over agents-from-scratch when License: just-chat is Apache-2.0, agents-from-scratch is MIT; Tags unique to just-chat: chatbot, docker composition, llm-agent, podman support; just-chat ships Docker support for self-hosted deployment; When you need to quickly set up and interact with an LLM-based AI agent without extensive configuration.
When should I choose agents-from-scratch over just-chat?
Choose agents-from-scratch over just-chat when License: agents-from-scratch is MIT, just-chat 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, 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 just-chat?
If your workflow does not support Docker or Podman, as these are the only supported deployment environments. When you are using Ubuntu 22.04 with the default Podman version (v3), which requires manual installation since it is not fully compatible with just-chat's setup.
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 just-chat or agents-from-scratch more popular on GitHub?
agents-from-scratch has more GitHub stars (954 vs 74). Stars measure visibility, not whether either tool fits your constraints.
Are just-chat and agents-from-scratch open source?
Yes - both are open-source projects on GitHub (just-chat: Apache-2.0, agents-from-scratch: MIT).
Where can I find alternatives to just-chat or agents-from-scratch?
GraphCanon lists graph-backed alternatives at just-chat alternatives and agents-from-scratch alternatives (just-chat 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, just-chat or agents-from-scratch?
just-chat: Slowing. agents-from-scratch: 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 just-chat and agents-from-scratch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: just-chat trust report; agents-from-scratch trust report.

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