Comparison
nanoclaw vs learn-claude-code
Verdict
Coexists - Both tools coexist in the ecosystem, offering different levels of complexity for developing AI agents.
Markdown twin · nanoclaw alternatives · learn-claude-code alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | nanoclaw | learn-claude-code |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | Published findings 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
- nanoclaw
- A lightweight alternative to OpenClaw that runs in containers for security, connecting to various messaging apps using Anthropic's Agents SDK
- learn-claude-code
- Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Stars
- nanoclaw
- 31k
- learn-claude-code
- 74k
Forks
- nanoclaw
- 13k
- learn-claude-code
- 12k
Open issues
- nanoclaw
- 904
- learn-claude-code
- 56
Language
- nanoclaw
- TypeScript
- learn-claude-code
- Python
Adopt for
- nanoclaw
- A lightweight alternative to OpenClaw that runs in containers for security, connecting to various messaging apps using Anthropic's Agents SDK.
- learn-claude-code
- Learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts.
Persona
- nanoclaw
- -
- learn-claude-code
- -
Runtime
- nanoclaw
- -
- learn-claude-code
- -
License
- nanoclaw
- MIT
- learn-claude-code
- MIT License
Last pushed
- nanoclaw
- Aug 19, 2026
- learn-claude-code
- Aug 15, 2026
Categories
- nanoclaw
- AI Agents
- learn-claude-code
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- nanoclaw
- 904
- learn-claude-code
- 56
Stars delta
- nanoclaw
- +265 (30d)
- learn-claude-code
- +3.1k (30d)
Open issues delta
- nanoclaw
- +80 (30d)
- learn-claude-code
- -11 (30d)
OSV dependency advisories
- nanoclaw
- Published findings
- learn-claude-code
- No lockfile (source not queried)
Full report
- nanoclaw
- Trust report
- learn-claude-code
- Trust report
Typed relationship
nanoclaw successor learn-claude-codeNanoClaw can be seen as a more evolved version of learn-claude-code with enhancements towards security and lightweight design.Coexists - Both tools coexist in the ecosystem, offering different levels of complexity for developing AI agents.
Choose nanoclaw if…
- nanoclaw is primarily TypeScript; learn-claude-code is Python.
- NanoClaw can be seen as a more evolved version of learn-claude-code with enhancements towards security and lightweight design.
- Tags unique to nanoclaw: ai-agents, ai-assistant, claude-skills, containers.
- When your goal is a secure environment leveraging Docker containers for running AI agents across multiple messaging platforms including WhatsApp, Telegram, Slack, Discord, and Gmail.
When NOT to use nanoclaw
- When working in environments that do not allow or require Docker for security reasons since Nanoclaw mandates its use to ensure isolation and safety.
- If your project needs more extensive community support or a wider array of pre-built integrations; Nanoclaw is a lightweight alternative and might lack the breadth of capabilities offered by larger,
Choose learn-claude-code if…
- learn-claude-code is primarily Python; nanoclaw is TypeScript.
- Requirements: Min 1 GB RAM.
- NanoClaw can be seen as a more evolved version of learn-claude-code with enhancements towards security and lightweight design.
- Tags unique to learn-claude-code: agent-development, ai-agent, educational, llm.
- Also covers Developer Tools.
- When you prefer leveraging both Bash scripting and Python for developing AI agents.
When NOT to use learn-claude-code
- For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python.
- If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (nanocoai/nanoclaw) · observed Aug 19, 2026
- GitHub forks (nanocoai/nanoclaw) · observed Aug 19, 2026
- Last push (nanocoai/nanoclaw) · 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 (shareAI-lab/learn-claude-code) · observed Aug 16, 2026
- GitHub forks (shareAI-lab/learn-claude-code) · observed Aug 16, 2026
- Last push (shareAI-lab/learn-claude-code) · observed Aug 15, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: nanoclaw 31k · learn-claude-code 74k (synced Aug 19, 2026).
Common questions
- What is the difference between nanoclaw and learn-claude-code?
- nanoclaw: A lightweight alternative to OpenClaw that runs in containers for security, connecting to various messaging apps using Anthropic's Agents SDK. learn-claude-code: Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. See the comparison table for live GitHub stats and shared categories.
- When should I choose nanoclaw over learn-claude-code?
- Choose nanoclaw over learn-claude-code when nanoclaw is primarily TypeScript; learn-claude-code is Python; NanoClaw can be seen as a more evolved version of learn-claude-code with enhancements towards security and lightweight design; Tags unique to nanoclaw: ai-agents, ai-assistant, claude-skills, containers; When your goal is a secure environment leveraging Docker containers for running AI agents across multiple messaging platforms including WhatsApp, Telegram, Slack, Discord, and Gmail.
- When should I choose learn-claude-code over nanoclaw?
- Choose learn-claude-code over nanoclaw when learn-claude-code is primarily Python; nanoclaw is TypeScript; Requirements: Min 1 GB RAM; NanoClaw can be seen as a more evolved version of learn-claude-code with enhancements towards security and lightweight design; Tags unique to learn-claude-code: agent-development, ai-agent, educational, llm; Also covers Developer Tools; When you prefer leveraging both Bash scripting and Python for developing AI agents.
- When should I avoid nanoclaw?
- When working in environments that do not allow or require Docker for security reasons since Nanoclaw mandates its use to ensure isolation and safety. If your project needs more extensive community support or a wider array of pre-built integrations; Nanoclaw is a lightweight alternative and might lack the breadth of capabilities offered by larger,
- When should I avoid learn-claude-code?
- For projects requiring extensive front-end integration with complex UI frameworks as Learn-Claude-Code focuses on backend scripting and Python. If your project needs a fully-fledged development suite; Learn-Claude-Code offers a more streamlined, educational approach rather than comprehensive feature-rich suites.
- Is nanoclaw or learn-claude-code more popular on GitHub?
- learn-claude-code has more GitHub stars (74,328 vs 30,558). Stars measure visibility, not whether either tool fits your constraints.
- Are nanoclaw and learn-claude-code open source?
- Yes - both are open-source projects on GitHub (nanoclaw: MIT, learn-claude-code: MIT).
- Where can I find alternatives to nanoclaw or learn-claude-code?
- GraphCanon lists graph-backed alternatives at nanoclaw alternatives and learn-claude-code alternatives (nanoclaw markdown twin, learn-claude-code 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, nanoclaw or learn-claude-code?
- nanoclaw: Very active. learn-claude-code: Very 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 nanoclaw and learn-claude-code?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: nanoclaw trust report; learn-claude-code trust report.