--- title: "atomic-agents vs agency" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/eigenwise-atomic-agents-vs-neurocult-agency" tools: ["eigenwise-atomic-agents", "neurocult-agency"] --- # atomic-agents vs agency *GraphCanon updated Aug 21, 2026* ## Verdict Pick atomic-agents if atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development; pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. [atomic-agents](https://eigenwise.github.io/atomic-agents/) reports 6.2k GitHub stars, 533 forks, and 4 open issues, last pushed Aug 16, 2026. [agency](https://github.com/neurocult/agency) has 514 stars, 36 forks, and 4 open issues, last pushed Jan 8, 2025. Figures are from public GitHub metadata via [atomic-agents's repository](https://github.com/Eigenwise/atomic-agents) and [agency's repository](https://github.com/neurocult/agency). | | [atomic-agents](/tools/eigenwise-atomic-agents.md) | [agency](/tools/neurocult-agency.md) | | --- | --- | --- | | Tagline | Building AI agents, atomically | Library for exploring Large Language Models and generative AI in Go | | Stars | 6,185 | 514 | | Forks | 533 | 36 | | Open issues | 4 | 4 | | Language | Python | Go | | Adopt for | Atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development. | Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [atomic-agents](/tools/eigenwise-atomic-agents.md) | [agency](/tools/neurocult-agency.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 589d | | Stars delta | +134 (30d) | +2 (30d) | | Open issues delta | -2 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/eigenwise-atomic-agents/trust.md) | [trust report](/tools/neurocult-agency/trust.md) | ## Decision facts: atomic-agents - **Adopt for:** Atomic agents streamline the creation of AI agents with modular integrations, making it ideal for Python-centric projects requiring flexibility and ease-of-use in agent development. ## Decision facts: agency - **Pricing:** freemium - Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository. - **Adopt for:** Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. ## Choose when ### Choose atomic-agents if… - atomic-agents is primarily Python; agency is Go. - Tags unique to atomic-agents: ai, artificial-intelligence, large-language-model, llms. - When you need a flexible toolkit to create atomic, modular AI agents with various LLM provider support ### Choose agency if… - agency is primarily Go; atomic-agents is Python. - Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.. - Tags unique to agency: agents, generative-ai, go, language-models. - If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ## When NOT to use atomic-agents - Avoid for projects needing exclusive use of providers not listed in the Instructor docs - Not suitable if looking for a solution that is language-agnostic, as it’s tightly integrated with Python ecosystems and CLI utilities ## When NOT to use agency - Avoid agency if your primary programming expertise lies outside of the Go ecosystem. - Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ## Common questions ### What is the difference between atomic-agents and agency? atomic-agents: Building AI agents, atomically. agency: Library for exploring Large Language Models and generative AI in Go. See the comparison table for live GitHub stats and shared categories. ### When should I choose atomic-agents over agency? Choose atomic-agents over agency when atomic-agents is primarily Python; agency is Go; Tags unique to atomic-agents: ai, artificial-intelligence, large-language-model, llms; When you need a flexible toolkit to create atomic, modular AI agents with various LLM provider support. ### When should I choose agency over atomic-agents? Choose agency over atomic-agents when agency is primarily Go; atomic-agents is Python; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, go, language-models; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency. ### When should I avoid atomic-agents? Avoid for projects needing exclusive use of providers not listed in the Instructor docs Not suitable if looking for a solution that is language-agnostic, as it’s tightly integrated with Python ecosystems and CLI utilities ### When should I avoid agency? Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide. ### Is atomic-agents or agency more popular on GitHub? atomic-agents has more GitHub stars (6,185 vs 514). Stars measure visibility, not whether either tool fits your constraints. ### Are atomic-agents and agency open source? Yes - both are open-source projects on GitHub (atomic-agents: MIT, agency: MIT). ### Where can I find alternatives to atomic-agents or agency? GraphCanon lists graph-backed alternatives at [atomic-agents alternatives](/tools/eigenwise-atomic-agents/alternatives) and [agency alternatives](/tools/neurocult-agency/alternatives) ([atomic-agents markdown twin](/tools/eigenwise-atomic-agents/alternatives.md), [agency markdown twin](/tools/neurocult-agency/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/eigenwise-atomic-agents-vs-neurocult-agency.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, atomic-agents or agency? atomic-agents: Very active. agency: Dormant. 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 atomic-agents and agency? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [atomic-agents trust report](/tools/eigenwise-atomic-agents/trust); [agency trust report](/tools/neurocult-agency/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=eigenwise-atomic-agents`](/api/graphcanon/graph?tool=eigenwise-atomic-agents) - 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/_