Comparison
planning-with-files vs agents-from-scratch
Verdict
Pick planning-with-files if a tool designed for providing persistent file-based planning in long-running AI coding tasks; 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 · planning-with-files alternatives · agents-from-scratch alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | planning-with-files | agents-from-scratch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Active (18d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · 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
- planning-with-files
- Persistent file-based planning for AI coding agents
- agents-from-scratch
- Build AI agents locally without relying on frameworks or cloud APIs.
Stars
- planning-with-files
- 26k
- agents-from-scratch
- 954
Forks
- planning-with-files
- 2.2k
- agents-from-scratch
- 240
Open issues
- planning-with-files
- 9
- agents-from-scratch
- 3
Language
- planning-with-files
- Shell
- agents-from-scratch
- Python
Adopt for
- planning-with-files
- A tool designed for providing persistent file-based planning in long-running AI coding tasks.
- 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
- planning-with-files
- -
- agents-from-scratch
- -
Runtime
- planning-with-files
- -
- agents-from-scratch
- -
License
- planning-with-files
- MIT
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- planning-with-files
- Aug 19, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- planning-with-files
- AI Agents, Developer Tools
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- planning-with-files
- Very active (96%)
- agents-from-scratch
- Active (82%)
Days since push
- planning-with-files
- 0d
- agents-from-scratch
- 18d
Open issues (now)
- planning-with-files
- 9
- agents-from-scratch
- 3
Stars delta
- planning-with-files
- +691 (30d)
- agents-from-scratch
- Unknown
Open issues delta
- planning-with-files
- +4 (30d)
- agents-from-scratch
- Unknown
Full report
- planning-with-files
- Trust report
- agents-from-scratch
- Trust report
Choose planning-with-files if…
- planning-with-files is primarily Shell; agents-from-scratch is Python.
- Pricing: Freely available under MIT License; community-supported..
- Tags unique to planning-with-files: agent-skills, claude-code, codex, coding-agent.
- - When your coding agent needs to retain plans across sessions without context loss.
When NOT to use planning-with-files
- - When you do not need persistent storage for plans, such as short tasks where context is unlikely to be lost.
- - For projects that strictly prohibit the use of external file storage for tracking progress due to security concerns.
- - If your workflow heavily relies on in-memory planning strategies that are more suitable than disk-based solutions.
Choose agents-from-scratch if…
- agents-from-scratch is primarily Python; planning-with-files is Shell.
- 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, llm, local-llm, no-framework.
- 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 (OthmanAdi/planning-with-files) · observed Aug 19, 2026
- GitHub forks (OthmanAdi/planning-with-files) · observed Aug 19, 2026
- Last push (OthmanAdi/planning-with-files) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 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: planning-with-files 26k · agents-from-scratch 954 (synced Aug 19, 2026).
Common questions
- What is the difference between planning-with-files and agents-from-scratch?
- planning-with-files: Persistent file-based planning for AI coding agents. 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 planning-with-files over agents-from-scratch?
- Choose planning-with-files over agents-from-scratch when planning-with-files is primarily Shell; agents-from-scratch is Python; Pricing: Freely available under MIT License; community-supported.; Tags unique to planning-with-files: agent-skills, claude-code, codex, coding-agent; - When your coding agent needs to retain plans across sessions without context loss.
- When should I choose agents-from-scratch over planning-with-files?
- Choose agents-from-scratch over planning-with-files when agents-from-scratch is primarily Python; planning-with-files is Shell; 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, llm, local-llm, no-framework; 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 planning-with-files?
- - When you do not need persistent storage for plans, such as short tasks where context is unlikely to be lost. - For projects that strictly prohibit the use of external file storage for tracking progress due to security concerns. - If your workflow heavily relies on in-memory planning strategies that are more suitable than disk-based solutions.
- 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 planning-with-files or agents-from-scratch more popular on GitHub?
- planning-with-files has more GitHub stars (26,250 vs 954). Stars measure visibility, not whether either tool fits your constraints.
- Are planning-with-files and agents-from-scratch open source?
- Yes - both are open-source projects on GitHub (planning-with-files: MIT, agents-from-scratch: MIT).
- Where can I find alternatives to planning-with-files or agents-from-scratch?
- GraphCanon lists graph-backed alternatives at planning-with-files alternatives and agents-from-scratch alternatives (planning-with-files 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, planning-with-files or agents-from-scratch?
- planning-with-files: Very active. 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 planning-with-files and agents-from-scratch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: planning-with-files trust report; agents-from-scratch trust report.