--- title: "agent-learning-kit vs uptrain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-agent-learning-kit-vs-uptrain-ai-uptrain" tools: ["future-agi-agent-learning-kit", "uptrain-ai-uptrain"] --- # agent-learning-kit vs uptrain *GraphCanon updated Aug 20, 2026* ## Verdict Pick agent-learning-kit if agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB; pick uptrain if upTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights. [agent-learning-kit](https://futureagi.com) reports 118 GitHub stars, 43 forks, and 6 open issues, last pushed Aug 1, 2026. [uptrain](https://uptrain.ai/) has 2.4k stars, 204 forks, and 58 open issues, last pushed Aug 18, 2024. Figures are from public GitHub metadata via [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit) and [uptrain's repository](https://github.com/uptrain-ai/uptrain). | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [uptrain](/tools/uptrain-ai-uptrain.md) | | --- | --- | --- | | Tagline | Evaluation Framework for all your AI related Workflows | Unified platform for evaluating and improving Generative AI applications | | Stars | 118 | 2,359 | | Forks | 43 | 204 | | Open issues | 6 | 58 | | Language | Python | Python | | Adopt for | Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. | UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution. | | Categories | Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | [uptrain](/tools/uptrain-ai-uptrain.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 731d | | Open issues (now) | 6 | 58 | | Stars delta | Unknown | +4 (30d) | | Open issues delta | Unknown | +3 (30d) | | Full report | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | [trust report](/tools/uptrain-ai-uptrain/trust.md) | ## Shared compatibility - **Python**: [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime; [uptrain](/tools/uptrain-ai-uptrain.md) - Python runtime ## Decision facts: agent-learning-kit - **Adopt for:** Agent-learning-kit is a Python framework for evaluating AI-related workflows with modules for faithfulness assessment, embedding similarity analysis, and feedback loop integration via ChromaDB. ## Decision facts: uptrain - **Hosting:** self hosted - UpTrain can be installed on-premises using pip or accessed through a managed version. - **Adopt for:** UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights. - **License detail:** The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution. ## Choose when ### Choose agent-learning-kit if… - Tags unique to agent-learning-kit: ai-agents, ci-cd, ml. - When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed. - More recently updated (last pushed Aug 1, 2026). ### Choose uptrain if… - UpTrain can be installed on-premises using pip or accessed through a managed version. - Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection. - uptrain ships Docker support for self-hosted deployment. - - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings. ## When NOT to use agent-learning-kit - If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. - When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB. ## When NOT to use uptrain - - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it. ## Common questions ### What is the difference between agent-learning-kit and uptrain? agent-learning-kit: Evaluation Framework for all your AI related Workflows. uptrain: Unified platform for evaluating and improving Generative AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-learning-kit over uptrain? Choose agent-learning-kit over uptrain when Tags unique to agent-learning-kit: ai-agents, ci-cd, ml; When you need comprehensive evaluation of your AI models including faithfulness checks using DeBERTa NLI model installed; More recently updated (last pushed Aug 1, 2026). ### When should I choose uptrain over agent-learning-kit? Choose uptrain over agent-learning-kit when UpTrain can be installed on-premises using pip or accessed through a managed version; Tags unique to uptrain: autoevaluation, experimentation, hallucination-detection, jailbreak-detection; uptrain ships Docker support for self-hosted deployment; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings. ### When should I avoid agent-learning-kit? If your workflow does not align with the specific evaluation criteria and methods supported by agent-learning-kit. When you seek a framework that integrates with backend systems other than those provided as optional extras, such as MongoDB or DynamoDB instead of ChromaDB. ### When should I avoid uptrain? - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it. ### Is agent-learning-kit or uptrain more popular on GitHub? uptrain has more GitHub stars (2,359 vs 118). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-learning-kit and uptrain open source? Yes - both are open-source projects on GitHub (agent-learning-kit: Apache-2.0, uptrain: Apache-2.0). ### Where can I find alternatives to agent-learning-kit or uptrain? GraphCanon lists graph-backed alternatives at [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) and [uptrain alternatives](/tools/uptrain-ai-uptrain/alternatives) ([agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md), [uptrain markdown twin](/tools/uptrain-ai-uptrain/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/future-agi-agent-learning-kit-vs-uptrain-ai-uptrain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-learning-kit or uptrain? agent-learning-kit: Very active. uptrain: 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 agent-learning-kit and uptrain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust); [uptrain trust report](/tools/uptrain-ai-uptrain/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-agent-learning-kit`](/api/graphcanon/graph?tool=future-agi-agent-learning-kit) - 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/_