--- title: "agentsys vs semble" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-sh-agentsys-vs-minishlab-semble" tools: ["agent-sh-agentsys", "minishlab-semble"] --- # agentsys vs semble *GraphCanon updated Sep 30, 2026* ## Verdict Pick agentsys if agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro; 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. [agentsys](https://agent-sh.github.io/agentsys/) reports 985 GitHub stars, 115 forks, and 0 open issues, last pushed Sep 13, 2026. [semble](https://minish.ai/packages/semble/introduction/) has 6.1k stars, 269 forks, and 6 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agentsys's repository](https://github.com/agent-sh/agentsys) and [semble's repository](https://github.com/MinishLab/semble). | | [agentsys](/tools/agent-sh-agentsys.md) | [semble](/tools/minishlab-semble.md) | | --- | --- | --- | | Tagline | AI writes code, automates tasks with plugins and agents | Fast and Accurate Code Search for Agents | | Stars | 985 | 6,112 | | Forks | 115 | 269 | | Open issues | 0 | 6 | | Language | JavaScript | Python | | Adopt for | agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentsys](/tools/agent-sh-agentsys.md) | [semble](/tools/minishlab-semble.md) | | --- | --- | --- | | Days since push | 6d | 1d | | Open issues (now) | 0 | 6 | | Stars delta | +23 (30d) | +432 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/agent-sh-agentsys/trust.md) | [trust report](/tools/minishlab-semble/trust.md) | ## Shared compatibility - **Cursor**: [agentsys](/tools/agent-sh-agentsys.md) - Works with Cursor; [semble](/tools/minishlab-semble.md) - Works with Cursor ## Decision facts: agentsys - **Requirements:** Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm. - **Adopt for:** agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. ## Decision facts: semble - **Requirements:** Operating with Python, Semble does not require Docker for its operation. - **Adopt for:** 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. ## Choose when ### Choose agentsys if… - agentsys is primarily JavaScript; semble is Python. - Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.. - Tags unique to agentsys: agent, ai, automation, code-review. - Also covers Developer Tools. - When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ### Choose semble if… - semble is primarily Python; agentsys is JavaScript. - 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 agentsys - If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. - When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. - If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ## 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. ## Common questions ### What is the difference between agentsys and semble? agentsys: AI writes code, automates tasks with plugins and agents. semble: Fast and Accurate Code Search for Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentsys over semble? Choose agentsys over semble when agentsys is primarily JavaScript; semble is Python; Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.; Tags unique to agentsys: agent, ai, automation, code-review; Also covers Developer Tools; When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ### When should I choose semble over agentsys? Choose semble over agentsys when semble is primarily Python; agentsys is JavaScript; 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 avoid agentsys? If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ### 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. ### Is agentsys or semble more popular on GitHub? semble has more GitHub stars (6,112 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are agentsys and semble open source? Yes - both are open-source projects on GitHub (agentsys: MIT, semble: MIT). ### Where can I find alternatives to agentsys or semble? GraphCanon lists graph-backed alternatives at [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) and [semble alternatives](/tools/minishlab-semble/alternatives) ([agentsys markdown twin](/tools/agent-sh-agentsys/alternatives.md), [semble markdown twin](/tools/minishlab-semble/alternatives.md)), 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](/compare/agent-sh-agentsys-vs-minishlab-semble.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentsys or semble? agentsys: Very active. semble: 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 agentsys and semble? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentsys trust report](/tools/agent-sh-agentsys/trust); [semble trust report](/tools/minishlab-semble/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-sh-agentsys`](/api/graphcanon/graph?tool=agent-sh-agentsys) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_