Comparison
semble vs learn-claude-code
Verdict
Pick semble if semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods; pick learn-claude-code if learn-Claude-Code is a minimalistic development tool leveraging Bash and Python to build an agent harness inspired by Claude coding concepts.
Markdown twin · semble alternatives · learn-claude-code alternatives
GraphCanon updated today
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Trust & integrity
| Signal | semble | learn-claude-code |
|---|---|---|
| Maintenance | Very active (3d since push) As of today · github_public_v1 | Active (14d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- semble
- Fast and Accurate Code Search for Agents
- learn-claude-code
- Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
Stars
- semble
- 5.6k
- learn-claude-code
- 71k
Forks
- semble
- 236
- learn-claude-code
- 12k
Open issues
- semble
- 8
- learn-claude-code
- 62
Language
- semble
- Python
- learn-claude-code
- Python
Adopt for
- semble
- Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods.
- 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
- semble
- -
- learn-claude-code
- -
Runtime
- semble
- -
- learn-claude-code
- -
License
- semble
- MIT
- learn-claude-code
- MIT License
Last pushed
- semble
- Jul 8, 2026
- learn-claude-code
- Jun 26, 2026
Categories
- semble
- AI Agents, Data & Retrieval
- learn-claude-code
- AI Agents, Developer Tools
Trust and health
Maintenance
- semble
- Very active (96%)
- learn-claude-code
- Active (82%)
Days since push
- semble
- 3d
- learn-claude-code
- 14d
Open issues (now)
- semble
- 8
- learn-claude-code
- 62
Security scan
- semble
- No MCP manifest
- learn-claude-code
- No lockfile
Full report
- semble
- Trust report
- learn-claude-code
- Trust report
Choose semble if…
- Requirements: Operating with Python, Semble does not require Docker for its operation..
- Tags unique to semble: embeddings, agents, retrieval, mcp.
- Also covers Data & Retrieval.
- - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
When NOT to use semble
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search.
- - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
Choose learn-claude-code if…
- Requirements: Min 1 GB RAM.
- Tags unique to learn-claude-code: agent-development, llm, python, educational.
- 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 (MinishLab/semble) · observed Jul 11, 2026
- GitHub forks (MinishLab/semble) · observed Jul 11, 2026
- Last push (MinishLab/semble) · observed Jul 8, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (shareAI-lab/learn-claude-code) · observed Jul 11, 2026
- GitHub forks (shareAI-lab/learn-claude-code) · observed Jul 11, 2026
- Last push (shareAI-lab/learn-claude-code) · observed Jun 26, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: semble 5.6k · learn-claude-code 71k (synced Jul 11, 2026).
Common questions
- What is the difference between semble and learn-claude-code?
- semble: Fast and Accurate Code Search for Agents. 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 semble over learn-claude-code?
- Choose semble over learn-claude-code when Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: embeddings, agents, retrieval, mcp; Also covers Data & Retrieval; - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations.
- When should I choose learn-claude-code over semble?
- Choose learn-claude-code over semble when Requirements: Min 1 GB RAM; Tags unique to learn-claude-code: agent-development, llm, python, educational; Also covers Developer Tools; When you prefer leveraging both Bash scripting and Python for developing AI agents.
- When should I avoid semble?
- - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction.
- 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 semble or learn-claude-code more popular on GitHub?
- learn-claude-code has more GitHub stars (70,653 vs 5,581). Stars measure visibility, not whether either tool fits your constraints.
- Are semble and learn-claude-code open source?
- Yes - both are open-source projects on GitHub (semble: MIT, learn-claude-code: MIT).
- Where can I find alternatives to semble or learn-claude-code?
- GraphCanon lists graph-backed alternatives at semble alternatives and learn-claude-code alternatives (semble 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, semble or learn-claude-code?
- semble: Very active. learn-claude-code: 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 semble and learn-claude-code?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: semble trust report; learn-claude-code trust report.