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
Trust & integrity
| Signal | just-chat | agents-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 (longevity-genie/just-chat) · observed Aug 8, 2026
- GitHub forks (longevity-genie/just-chat) · observed Aug 8, 2026
- Last push (longevity-genie/just-chat) · observed Nov 22, 2025
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 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.