--- title: "agenta vs LLMStack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-trypromptly-llmstack" tools: ["agenta-ai-agenta", "trypromptly-llmstack"] --- # agenta vs LLMStack *GraphCanon updated Aug 16, 2026* ## Verdict Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; pick LLMStack if lLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise. [agenta](http://www.agenta.ai) reports 4.4k GitHub stars, 609 forks, and 270 open issues, last pushed Aug 7, 2026. [LLMStack](https://llmstack.trypromptly.com) has 2.3k stars, 347 forks, and 23 open issues, last pushed Dec 11, 2024. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [LLMStack's repository](https://github.com/trypromptly/LLMStack). | | [agenta](/tools/agenta-ai-agenta.md) | [LLMStack](/tools/trypromptly-llmstack.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform for prompt management, evaluation, and observability. | No-code multi-agent framework to build LLM Agents, workflows and applications with your data | | Stars | 4,445 | 2,309 | | Forks | 609 | 347 | | Open issues | 270 | 23 | | Language | TypeScript | Python | | Adopt for | Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. | LLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [LLMStack](/tools/trypromptly-llmstack.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 612d | | Open issues (now) | 270 | 23 | | Stars delta | +170 (30d) | +2 (30d) | | Open issues delta | +109 (30d) | -1 (30d) | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/trypromptly-llmstack/trust.md) | ## Decision facts: agenta - **Adopt for:** Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability. ## Decision facts: LLMStack - **Adopt for:** LLMStack is a no-code framework designed for building LLM Agents and complex workflows with data integration, suitable for teams that want to leverage AI without deep coding expertise. ## Choose when ### Choose agenta if… - agenta is primarily TypeScript; LLMStack is Python. - Tags unique to agenta: evaluation, llm-as-a-judge, llm-evaluation, llm-monitoring. - Also covers Evaluation & Observability. - Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities ### Choose LLMStack if… - LLMStack is primarily Python; agenta is TypeScript. - Tags unique to LLMStack: ai-agents-framework, generative-ai, llm-agents, llm-chain. - Also covers AI Agents. - Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models. ## When NOT to use agenta - Looking for a service without the need to manage self-hosting setup - Require real-time collaboration features that are not provided within this platform's scope ## When NOT to use LLMStack - Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives. - Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures. ## Common questions ### What is the difference between agenta and LLMStack? agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. LLMStack: No-code multi-agent framework to build LLM Agents, workflows and applications with your data. See the comparison table for live GitHub stats and shared categories. ### When should I choose agenta over LLMStack? Choose agenta over LLMStack when agenta is primarily TypeScript; LLMStack is Python; Tags unique to agenta: evaluation, llm-as-a-judge, llm-evaluation, llm-monitoring; Also covers Evaluation & Observability; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities. ### When should I choose LLMStack over agenta? Choose LLMStack over agenta when LLMStack is primarily Python; agenta is TypeScript; Tags unique to LLMStack: ai-agents-framework, generative-ai, llm-agents, llm-chain; Also covers AI Agents; Use LLMStack when you need a no-code solution to develop multi-agent systems based on large language models. ### When should I avoid agenta? Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope ### When should I avoid LLMStack? Avoid using LLMStack if your project necessitates heavy customization or fine-tuning at the coding level, as it may limit flexibility compared to code-based alternatives. Not recommended for teams with robust software engineering capabilities and a need for detailed control over underlying AI model architectures. ### Is agenta or LLMStack more popular on GitHub? agenta has more GitHub stars (4,445 vs 2,309). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and LLMStack open source? Yes - both are open-source projects on GitHub (agenta: Other, LLMStack: Other). ### Where can I find alternatives to agenta or LLMStack? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [LLMStack alternatives](/tools/trypromptly-llmstack/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [LLMStack markdown twin](/tools/trypromptly-llmstack/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/agenta-ai-agenta-vs-trypromptly-llmstack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or LLMStack? agenta: Very active. LLMStack: 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 agenta and LLMStack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [LLMStack trust report](/tools/trypromptly-llmstack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - 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/_