--- title: "agenta vs lmdeploy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-internlm-lmdeploy" tools: ["agenta-ai-agenta", "internlm-lmdeploy"] --- # agenta vs lmdeploy *GraphCanon updated Jul 12, 2026* ## Verdict Pick agenta when agenta is primarily TypeScript; lmdeploy is Python; pick lmdeploy when lmdeploy is primarily Python; agenta is TypeScript. [agenta](http://www.agenta.ai) reports 4.3k GitHub stars, 565 forks, and 184 open issues, last pushed Jul 11, 2026. [lmdeploy](https://lmdeploy.readthedocs.io/en/latest) has 8.0k stars, 703 forks, and 597 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [lmdeploy's repository](https://github.com/InternLM/lmdeploy). | | [agenta](/tools/agenta-ai-agenta.md) | [lmdeploy](/tools/internlm-lmdeploy.md) | | --- | --- | --- | | Tagline | The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place. | LMDeploy is a toolkit for compressing, deploying, and serving LLMs. | | Stars | 4,283 | 7,952 | | Forks | 565 | 703 | | Open issues | 184 | 597 | | Language | TypeScript | Python | | Adopt for | Agenta is an open-source LLMOps platform that supports prompt engineering, evaluation of language models, and monitoring their performance. It can be self-hosted and comes with a comprehensive set of tools for managing L | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, LLM Frameworks, Inference & Serving | Model Training, LLM Frameworks, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [lmdeploy](/tools/internlm-lmdeploy.md) | | --- | --- | --- | | Open issues (now) | 184 | 597 | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/internlm-lmdeploy/trust.md) | ## Decision facts: agenta - **Adopt for:** Agenta is an open-source LLMOps platform that supports prompt engineering, evaluation of language models, and monitoring their performance. It can be self-hosted and comes with a comprehensive set of tools for managing L ## Choose when ### Choose agenta if… - agenta is primarily TypeScript; lmdeploy is Python. - License: agenta is Other, lmdeploy is Apache-2.0. - Tags unique to agenta: llm-framework, llm-monitoring, evaluation, agents. - Also covers AI Agents. - You should use Agenta if you're working on managing prompts and evaluating the performance of your language models while needing observability features in an open-source environment. ### Choose lmdeploy if… - lmdeploy is primarily Python; agenta is TypeScript. - License: lmdeploy is Apache-2.0, agenta is Other. - Tags unique to lmdeploy: codellama, llama, deepspeed, fastertransformer. - Also covers Model Training. ## When NOT to use agenta - Avoid Agenta if you prefer pre-packaged SaaS solutions over DIY open-source deployments; setting up and maintaining can be complex. - Agenta may not be suitable if your project or organization does not have the technical know-how to handle self-hosted environments, as configuration and deployment require specific Docker setup. ## When NOT to use lmdeploy - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between agenta and lmdeploy? agenta: The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.. lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agenta over lmdeploy? Choose agenta over lmdeploy when agenta is primarily TypeScript; lmdeploy is Python; License: agenta is Other, lmdeploy is Apache-2.0; Tags unique to agenta: llm-framework, llm-monitoring, evaluation, agents; Also covers AI Agents; You should use Agenta if you're working on managing prompts and evaluating the performance of your language models while needing observability features in an open-source environment. ### When should I choose lmdeploy over agenta? Choose lmdeploy over agenta when lmdeploy is primarily Python; agenta is TypeScript; License: lmdeploy is Apache-2.0, agenta is Other; Tags unique to lmdeploy: codellama, llama, deepspeed, fastertransformer; Also covers Model Training. ### When should I avoid agenta? Avoid Agenta if you prefer pre-packaged SaaS solutions over DIY open-source deployments; setting up and maintaining can be complex. Agenta may not be suitable if your project or organization does not have the technical know-how to handle self-hosted environments, as configuration and deployment require specific Docker setup. ### When should I avoid lmdeploy? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is agenta or lmdeploy more popular on GitHub? lmdeploy has more GitHub stars (7,952 vs 4,283). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and lmdeploy open source? Yes - both are open-source projects on GitHub (agenta: Other, lmdeploy: Apache-2.0). ### Where can I find alternatives to agenta or lmdeploy? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [lmdeploy alternatives](/tools/internlm-lmdeploy/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/alternatives.md), [lmdeploy markdown twin](/tools/internlm-lmdeploy/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-internlm-lmdeploy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or lmdeploy? agenta: Very active. lmdeploy: 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 agenta and lmdeploy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [lmdeploy trust report](/tools/internlm-lmdeploy/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/_