--- title: "OpenAGI vs agent-learning-kit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agiresearch-openagi-vs-future-agi-agent-learning-kit" tools: ["agiresearch-openagi", "future-agi-agent-learning-kit"] --- # OpenAGI vs agent-learning-kit *GraphCanon updated Sep 20, 2026* ## Verdict Pick OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK; pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities. [OpenAGI](https://docs.aios.foundation) reports 2.3k GitHub stars, 212 forks, and 10 open issues, last pushed Nov 28, 2024. [agent-learning-kit](https://futureagi.com) has 119 stars, 44 forks, and 19 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [OpenAGI's repository](https://github.com/agiresearch/OpenAGI) and [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit). | | [OpenAGI](/tools/agiresearch-openagi.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Tagline | Agent creation package for building agents in AIOS | General Purpose Evaluation and Simulation Environment for all your AI related Workflows | | Stars | 2,282 | 119 | | Forks | 212 | 44 | | Open issues | 10 | 19 | | Language | Python | Python | | Adopt for | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language | | Persona | - | - | | Runtime | - | - | | License | MIT license allows freedom to use for any purpose with attribution. | Other | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OpenAGI](/tools/agiresearch-openagi.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 648d | 0d | | Open issues (now) | 10 | 19 | | Stars delta | +2 (30d) | +1 (30d) | | Open issues delta | 0 (30d) | +13 (30d) | | Full report | [trust report](/tools/agiresearch-openagi/trust.md) | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | ## Shared compatibility - **Python**: [OpenAGI](/tools/agiresearch-openagi.md) - Python runtime; [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime ## Decision facts: OpenAGI - **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository. - **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. - **License detail:** MIT license allows freedom to use for any purpose with attribution. ## Decision facts: agent-learning-kit - **Adopt for:** agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language ## Choose when ### Choose OpenAGI if… - License: OpenAGI is MIT, agent-learning-kit is Other. - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.. - Tags unique to OpenAGI: agents, agiresearch, aios. - - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul ### Choose agent-learning-kit if… - License: agent-learning-kit is Other, OpenAGI is MIT. - Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation. - Also covers Evaluation & Observability. - When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents ## When NOT to use OpenAGI - - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ## When NOT to use agent-learning-kit - If your project strictly requires a different programming language other than Python or TypeScript - When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ## Common questions ### What is the difference between OpenAGI and agent-learning-kit? OpenAGI: Agent creation package for building agents in AIOS. agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose OpenAGI over agent-learning-kit? Choose OpenAGI over agent-learning-kit when License: OpenAGI is MIT, agent-learning-kit is Other; OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agents, agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul. ### When should I choose agent-learning-kit over OpenAGI? Choose agent-learning-kit over OpenAGI when License: agent-learning-kit is Other, OpenAGI is MIT; Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation; Also covers Evaluation & Observability; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents. ### When should I avoid OpenAGI? - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ### When should I avoid agent-learning-kit? If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ### Is OpenAGI or agent-learning-kit more popular on GitHub? OpenAGI has more GitHub stars (2,282 vs 119). Stars measure visibility, not whether either tool fits your constraints. ### Are OpenAGI and agent-learning-kit open source? Yes - both are open-source projects on GitHub (OpenAGI: MIT, agent-learning-kit: Other). ### Where can I find alternatives to OpenAGI or agent-learning-kit? GraphCanon lists graph-backed alternatives at [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) and [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) ([OpenAGI markdown twin](/tools/agiresearch-openagi/alternatives.md), [agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/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/agiresearch-openagi-vs-future-agi-agent-learning-kit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OpenAGI or agent-learning-kit? OpenAGI: Dormant. agent-learning-kit: 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 OpenAGI and agent-learning-kit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAGI trust report](/tools/agiresearch-openagi/trust); [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agiresearch-openagi`](/api/graphcanon/graph?tool=agiresearch-openagi) - 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/_