--- title: "semble vs agent-toolkit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/minishlab-semble-vs-softaworks-agent-toolkit" tools: ["minishlab-semble", "softaworks-agent-toolkit"] --- # semble vs agent-toolkit *GraphCanon updated Aug 22, 2026* ## 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 agent-toolkit if extends AI coding agent capabilities with Python skills for development and professional workflows. [semble](https://minish.ai/packages/semble/introduction/) reports 5.9k GitHub stars, 256 forks, and 3 open issues, last pushed Aug 12, 2026. [agent-toolkit](https://github.com/softaworks/agent-toolkit) has 2.3k stars, 217 forks, and 17 open issues, last pushed Mar 5, 2026. Figures are from public GitHub metadata via [semble's repository](https://github.com/MinishLab/semble) and [agent-toolkit's repository](https://github.com/softaworks/agent-toolkit). | | [semble](/tools/minishlab-semble.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Tagline | Fast and Accurate Code Search for Agents | A curated collection of skills for AI coding agents | | Stars | 5,927 | 2,307 | | Forks | 256 | 217 | | Open issues | 3 | 17 | | Language | Python | Python | | 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. | Extends AI coding agent capabilities with Python skills for development and professional workflows | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [semble](/tools/minishlab-semble.md) | [agent-toolkit](/tools/softaworks-agent-toolkit.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 10d | 159d | | Open issues (now) | 3 | 17 | | Stars delta | +247 (30d) | Unknown | | Open issues delta | -4 (30d) | Unknown | | Full report | [trust report](/tools/minishlab-semble/trust.md) | [trust report](/tools/softaworks-agent-toolkit/trust.md) | ## Shared compatibility - **Cursor**: [semble](/tools/minishlab-semble.md) - Works with Cursor; [agent-toolkit](/tools/softaworks-agent-toolkit.md) - Works with Cursor ## 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. ## Decision facts: agent-toolkit - **Adopt for:** Extends AI coding agent capabilities with Python skills for development and professional workflows ## Choose when ### 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. ### Choose agent-toolkit if… - Tags unique to agent-toolkit: agent-skills, ai, automation, claude. - Also covers Developer Tools. - For enhancing specific tasks like documentation, planning, and workflow management ## 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. ## When NOT to use agent-toolkit - If you seek support for languages other than Python - When working with non-Python based coding agents that require specialized skills not covered by this toolkit - In cases where custom, from-scratch development is preferred over using pre-packaged scripts ## Common questions ### What is the difference between semble and agent-toolkit? semble: Fast and Accurate Code Search for Agents. agent-toolkit: A curated collection of skills for AI coding agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose semble over agent-toolkit? Choose semble over agent-toolkit 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 agent-toolkit over semble? Choose agent-toolkit over semble when Tags unique to agent-toolkit: agent-skills, ai, automation, claude; Also covers Developer Tools; For enhancing specific tasks like documentation, planning, and workflow management. ### 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 agent-toolkit? If you seek support for languages other than Python When working with non-Python based coding agents that require specialized skills not covered by this toolkit In cases where custom, from-scratch development is preferred over using pre-packaged scripts ### Is semble or agent-toolkit more popular on GitHub? semble has more GitHub stars (5,927 vs 2,307). Stars measure visibility, not whether either tool fits your constraints. ### Are semble and agent-toolkit open source? Yes - both are open-source projects on GitHub (semble: MIT, agent-toolkit: MIT). ### Where can I find alternatives to semble or agent-toolkit? GraphCanon lists graph-backed alternatives at [semble alternatives](/tools/minishlab-semble/alternatives) and [agent-toolkit alternatives](/tools/softaworks-agent-toolkit/alternatives) ([semble markdown twin](/tools/minishlab-semble/alternatives.md), [agent-toolkit markdown twin](/tools/softaworks-agent-toolkit/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/minishlab-semble-vs-softaworks-agent-toolkit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, semble or agent-toolkit? semble: Active. agent-toolkit: Slowing. 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 agent-toolkit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [semble trust report](/tools/minishlab-semble/trust); [agent-toolkit trust report](/tools/softaworks-agent-toolkit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=minishlab-semble`](/api/graphcanon/graph?tool=minishlab-semble) - 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/_