--- title: "beehive vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/muesli-beehive-vs-pguso-agents-from-scratch" tools: ["muesli-beehive", "pguso-agents-from-scratch"] --- # beehive vs agents-from-scratch *GraphCanon updated Sep 20, 2026* ## Verdict Pick beehive if beehive, an event-driven and agent-based automation framework in Go under AGPL-3.0 license, supports complex workflows via Docker and Ansible; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [beehive](https://github.com/muesli/beehive) reports 6.5k GitHub stars, 327 forks, and 119 open issues, last pushed Feb 25, 2023. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [beehive's repository](https://github.com/muesli/beehive) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [beehive](/tools/muesli-beehive.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | A flexible event/agent & automation system with lots of bees | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 6,490 | 1,017 | | Forks | 327 | 251 | | Open issues | 119 | 4 | | Language | Go | Python | | Adopt for | Beehive, an event-driven and agent-based automation framework in Go under AGPL-3.0 license, supports complex workflows via Docker and Ansible. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [beehive](/tools/muesli-beehive.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1298d | 56d | | Open issues (now) | 119 | 4 | | Stars delta | +5 (30d) | +63 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/muesli-beehive/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: beehive - **Adopt for:** Beehive, an event-driven and agent-based automation framework in Go under AGPL-3.0 license, supports complex workflows via Docker and Ansible. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose beehive if… - beehive is primarily Go; agents-from-scratch is Python. - License: beehive is AGPL-3.0, agents-from-scratch is MIT. - Tags unique to beehive: automation, event-driven-architecture, workflow-management. - beehive ships Docker support for self-hosted deployment. - You prioritize Go for development and need a flexible tool supporting Docker and Ansible deployment. ### Choose agents-from-scratch if… - agents-from-scratch is primarily Python; beehive is Go. - License: agents-from-scratch is MIT, beehive is AGPL-3.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use beehive - If your project demands proprietary licensing, avoiding AGPL-3.0 is essential. - For projects requiring languages other than Go for automation frameworks. ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between beehive and agents-from-scratch? beehive: A flexible event/agent & automation system with lots of bees. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose beehive over agents-from-scratch? Choose beehive over agents-from-scratch when beehive is primarily Go; agents-from-scratch is Python; License: beehive is AGPL-3.0, agents-from-scratch is MIT; Tags unique to beehive: automation, event-driven-architecture, workflow-management; beehive ships Docker support for self-hosted deployment; You prioritize Go for development and need a flexible tool supporting Docker and Ansible deployment. ### When should I choose agents-from-scratch over beehive? Choose agents-from-scratch over beehive when agents-from-scratch is primarily Python; beehive is Go; License: agents-from-scratch is MIT, beehive is AGPL-3.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid beehive? If your project demands proprietary licensing, avoiding AGPL-3.0 is essential. For projects requiring languages other than Go for automation frameworks. ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is beehive or agents-from-scratch more popular on GitHub? beehive has more GitHub stars (6,490 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are beehive and agents-from-scratch open source? Yes - both are open-source projects on GitHub (beehive: AGPL-3.0, agents-from-scratch: MIT). ### Where can I find alternatives to beehive or agents-from-scratch? GraphCanon lists graph-backed alternatives at [beehive alternatives](/tools/muesli-beehive/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([beehive markdown twin](/tools/muesli-beehive/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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/muesli-beehive-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, beehive or agents-from-scratch? beehive: Dormant. agents-from-scratch: Steady. 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 beehive and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [beehive trust report](/tools/muesli-beehive/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=muesli-beehive`](/api/graphcanon/graph?tool=muesli-beehive) - 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/_