Comparison
semble vs agents
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 agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode.
Markdown twin · semble alternatives · agents alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | semble | agents |
|---|---|---|
| Maintenance | Active (10d since push) As of 1d · github_public_v1 | Very active (1d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Personal account As of 4d · 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
- agents
- Multi-harness agentic plugin marketplace for various AI agents
Stars
- semble
- 5.9k
- agents
- 39k
Forks
- semble
- 256
- agents
- 4.1k
Open issues
- semble
- 3
- agents
- 5
Language
- semble
- Python
- agents
- 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.
- agents
- The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot
Persona
- semble
- -
- agents
- -
Runtime
- semble
- -
- agents
- -
License
- semble
- MIT
- agents
- MIT
Last pushed
- semble
- Aug 12, 2026
- agents
- Aug 18, 2026
Categories
- semble
- AI Agents, Data & Retrieval
- agents
- AI Agents, Developer Tools
Trust and health
Maintenance
- semble
- Active (82%)
- agents
- Very active (96%)
Days since push
- semble
- 10d
- agents
- 1d
Open issues (now)
- semble
- 3
- agents
- 5
Stars delta
- semble
- +247 (30d)
- agents
- +860 (30d)
Open issues delta
- semble
- -4 (30d)
- agents
- +2 (30d)
Owner type
- semble
- Organization
- agents
- User
Full report
- semble
- Trust report
- agents
- Trust report
Shared compatibility
- Cursor · semble: Works with Cursor · agents: Works with Cursor
Choose semble if…
- 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 agents if…
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- Also covers Developer Tools.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments
When NOT to use agents
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
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 (wshobson/agents) · observed Aug 19, 2026
- GitHub forks (wshobson/agents) · observed Aug 19, 2026
- Last push (wshobson/agents) · observed Aug 18, 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 on cards: semble 5.9k · agents 39k (synced Aug 22, 2026).
Common questions
- What is the difference between semble and agents?
- semble: Fast and Accurate Code Search for Agents. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose semble over agents?
- Choose semble over agents when 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 agents over semble?
- Choose agents over semble when Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.
- 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 agents?
- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem
- Is semble or agents more popular on GitHub?
- agents has more GitHub stars (38,928 vs 5,927). Stars measure visibility, not whether either tool fits your constraints.
- Are semble and agents open source?
- Yes - both are open-source projects on GitHub (semble: MIT, agents: MIT).
- Where can I find alternatives to semble or agents?
- GraphCanon lists graph-backed alternatives at semble alternatives and agents alternatives (semble markdown twin, agents 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 agents?
- semble: Active. agents: 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 semble and agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: semble trust report; agents trust report.