Comparison
semble vs awesome-claude-code-subagents
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 awesome-claude-code-subagents if awesome-claude-code-subagents offers over 100 AI-powered subagents to assist developers with various technical tasks such as DevOps, cloud management, deployment automation, and more. These can be installed manually or.
Markdown twin · semble alternatives · awesome-claude-code-subagents alternatives
GraphCanon updated 1d
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Trust & integrity
| Signal | semble | awesome-claude-code-subagents |
|---|---|---|
| Maintenance | Active (10d since push) As of 1d · github_public_v1 | Active (7d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3d · 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
- semble
- Fast and Accurate Code Search for Agents
- awesome-claude-code-subagents
- A collection of specialized Claude Code subagents for development use cases
Stars
- semble
- 5.9k
- awesome-claude-code-subagents
- 24k
Forks
- semble
- 256
- awesome-claude-code-subagents
- 2.8k
Open issues
- semble
- 3
- awesome-claude-code-subagents
- 4
Language
- semble
- Python
- awesome-claude-code-subagents
- Shell
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.
- awesome-claude-code-subagents
- awesome-claude-code-subagents offers over 100 AI-powered subagents to assist developers with various technical tasks such as DevOps, cloud management, deployment automation, and more. These can be installed manually or a
Persona
- semble
- -
- awesome-claude-code-subagents
- -
Runtime
- semble
- -
- awesome-claude-code-subagents
- -
License
- semble
- MIT
- awesome-claude-code-subagents
- MIT
Last pushed
- semble
- Aug 12, 2026
- awesome-claude-code-subagents
- Aug 12, 2026
Categories
- semble
- AI Agents, Data & Retrieval
- awesome-claude-code-subagents
- AI Agents
Trust and health
Days since push
- semble
- 10d
- awesome-claude-code-subagents
- 7d
Open issues (now)
- semble
- 3
- awesome-claude-code-subagents
- 4
Stars delta
- semble
- +247 (30d)
- awesome-claude-code-subagents
- +940 (30d)
Open issues delta
- semble
- -4 (30d)
- awesome-claude-code-subagents
- -1 (30d)
Full report
- semble
- Trust report
- awesome-claude-code-subagents
- Trust report
Choose semble if…
- semble is primarily Python; awesome-claude-code-subagents is Shell.
- Requirements: Operating with Python, Semble does not require Docker for its operation..
- Tags unique to semble: agents, code-search, embeddings, 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 awesome-claude-code-subagents if…
- awesome-claude-code-subagents is primarily Shell; semble is Python.
- Pricing: awesome-claude-code-subagents is provided under an MIT license. The core agents are available freely, but premium features or support might be required for more advanced configurations..
- Requirements: Min 2 GB RAM.
- Tags unique to awesome-claude-code-subagents: ai-agent-framework, ai-agent-tools, awesome-list, claude-code-subagents.
- - When you require extensive support for specialized technical tasks within DevOps, cloud management, and deployment scenarios that are specifically tailored by the Claude platform.
When NOT to use awesome-claude-code-subagents
- - Avoid if you need support for niche or very specific programming languages, frameworks, or technologies that are not covered by any of the over 100 included agents.
- - Not suitable if your team prefers to develop custom integrations from scratch rather than using pre-determined subagents since the value lies in the pre-configured nature of these tools.
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 Aug 22, 2026
- GitHub forks (MinishLab/semble) · observed Aug 22, 2026
- Last push (MinishLab/semble) · observed Aug 12, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (VoltAgent/awesome-claude-code-subagents) · observed Aug 20, 2026
- GitHub forks (VoltAgent/awesome-claude-code-subagents) · observed Aug 20, 2026
- Last push (VoltAgent/awesome-claude-code-subagents) · observed Aug 12, 2026
- License file (MIT) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: semble 5.9k · awesome-claude-code-subagents 24k (synced Aug 22, 2026).
Common questions
- What is the difference between semble and awesome-claude-code-subagents?
- semble: Fast and Accurate Code Search for Agents. awesome-claude-code-subagents: A collection of specialized Claude Code subagents for development use cases. See the comparison table for live GitHub stats and shared categories.
- When should I choose semble over awesome-claude-code-subagents?
- Choose semble over awesome-claude-code-subagents when semble is primarily Python; awesome-claude-code-subagents is Shell; Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: agents, code-search, embeddings, 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 awesome-claude-code-subagents over semble?
- Choose awesome-claude-code-subagents over semble when awesome-claude-code-subagents is primarily Shell; semble is Python; Pricing: awesome-claude-code-subagents is provided under an MIT license. The core agents are available freely, but premium features or support might be required for more advanced configurations.; Requirements: Min 2 GB RAM; Tags unique to awesome-claude-code-subagents: ai-agent-framework, ai-agent-tools, awesome-list, claude-code-subagents; - When you require extensive support for specialized technical tasks within DevOps, cloud management, and deployment scenarios that are specifically tailored by the Claude platform.
- 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 awesome-claude-code-subagents?
- - Avoid if you need support for niche or very specific programming languages, frameworks, or technologies that are not covered by any of the over 100 included agents. - Not suitable if your team prefers to develop custom integrations from scratch rather than using pre-determined subagents since the value lies in the pre-configured nature of these tools.
- Is semble or awesome-claude-code-subagents more popular on GitHub?
- awesome-claude-code-subagents has more GitHub stars (24,470 vs 5,927). Stars measure visibility, not whether either tool fits your constraints.
- Are semble and awesome-claude-code-subagents open source?
- Yes - both are open-source projects on GitHub (semble: MIT, awesome-claude-code-subagents: MIT).
- Where can I find alternatives to semble or awesome-claude-code-subagents?
- GraphCanon lists graph-backed alternatives at semble alternatives and awesome-claude-code-subagents alternatives (semble markdown twin, awesome-claude-code-subagents 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 awesome-claude-code-subagents?
- semble: Active. awesome-claude-code-subagents: 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 awesome-claude-code-subagents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: semble trust report; awesome-claude-code-subagents trust report.