--- title: "minima vs txtai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dmayboroda-minima-vs-neuml-txtai" tools: ["dmayboroda-minima", "neuml-txtai"] --- # minima vs txtai *GraphCanon updated Jul 12, 2026* ## Verdict Pick minima when license: minima is MPL-2.0, txtai is Apache-2.0; pick txtai when license: txtai is Apache-2.0, minima is MPL-2.0. [minima](https://github.com/dmayboroda/minima) reports 1.0k GitHub stars, 103 forks, and 14 open issues, last pushed Jan 22, 2026. [txtai](https://neuml.github.io/txtai) has 13k stars, 844 forks, and 11 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [minima's repository](https://github.com/dmayboroda/minima) and [txtai's repository](https://github.com/neuml/txtai). | | [minima](/tools/dmayboroda-minima.md) | [txtai](/tools/neuml-txtai.md) | | --- | --- | --- | | Tagline | On-premises conversational RAG with configurable containers | All-in-one AI framework for semantic search, LLM orchestration and language model workflows | | Stars | 1,049 | 12,715 | | Forks | 103 | 844 | | Open issues | 14 | 11 | | Language | Python | Python | | Adopt for | - | Txtai offers a comprehensive suite for semantic search and large language model workflows. Ideal for those who require an all-in-one framework with embedding generation and information retrieval capabilities. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Data & Retrieval | Data & Retrieval, AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [minima](/tools/dmayboroda-minima.md) | [txtai](/tools/neuml-txtai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 170d | 8d | | Open issues (now) | 14 | 11 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/dmayboroda-minima/trust.md) | [trust report](/tools/neuml-txtai/trust.md) | ## Decision facts: txtai - **Pricing:** freemium - Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子 - **Requirements:** Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine. - **Adopt for:** Txtai offers a comprehensive suite for semantic search and large language model workflows. Ideal for those who require an all-in-one framework with embedding generation and information retrieval capabilities. ## Choose when ### Choose minima if… - License: minima is MPL-2.0, txtai is Apache-2.0. - Tags unique to minima: ai, custom-gpts, docker, docker-compose. ### Choose txtai if… - License: txtai is Apache-2.0, minima is MPL-2.0. - Pricing: Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子. - Requirements: Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine.. - Tags unique to txtai: embeddings, llm, nlp, python. - Also covers AI Agents. - When you need a cohesive, unified solution that doesn't require integration across multiple frameworks – txtai bundles semantic search and LLM orchestration. ## When NOT to use minima - Last GitHub push was 170 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on minima. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use txtai - When you specifically need a framework with focus on advanced machine learning models beyond NLP, as txtai primarily focuses on semantic search and LLM workflows. - If your project requires customization of every single component of the AI pipeline from scratch, txtai's all-in-one approach might limit that flexibility. ## Common questions ### What is the difference between minima and txtai? minima: On-premises conversational RAG with configurable containers. txtai: All-in-one AI framework for semantic search, LLM orchestration and language model workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose minima over txtai? Choose minima over txtai when License: minima is MPL-2.0, txtai is Apache-2.0; Tags unique to minima: ai, custom-gpts, docker, docker-compose. ### When should I choose txtai over minima? Choose txtai over minima when License: txtai is Apache-2.0, minima is MPL-2.0; Pricing: Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子; Requirements: Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine.; Tags unique to txtai: embeddings, llm, nlp, python; Also covers AI Agents; When you need a cohesive, unified solution that doesn't require integration across multiple frameworks – txtai bundles semantic search and LLM orchestration. ### When should I avoid minima? Last GitHub push was 170 days ago (slowing maintenance, Jan 22, 2026). Validate activity before betting a new project on minima. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid txtai? When you specifically need a framework with focus on advanced machine learning models beyond NLP, as txtai primarily focuses on semantic search and LLM workflows. If your project requires customization of every single component of the AI pipeline from scratch, txtai's all-in-one approach might limit that flexibility. ### Is minima or txtai more popular on GitHub? txtai has more GitHub stars (12,715 vs 1,049). Stars measure visibility, not whether either tool fits your constraints. ### Are minima and txtai open source? Yes - both are open-source projects on GitHub (minima: MPL-2.0, txtai: Apache-2.0). ### Where can I find alternatives to minima or txtai? GraphCanon lists graph-backed alternatives at [minima alternatives](/tools/dmayboroda-minima/alternatives) and [txtai alternatives](/tools/neuml-txtai/alternatives) ([minima markdown twin](/tools/dmayboroda-minima/alternatives.md), [txtai markdown twin](/tools/neuml-txtai/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/dmayboroda-minima-vs-neuml-txtai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, minima or txtai? minima: Slowing. txtai: 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 minima and txtai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [minima trust report](/tools/dmayboroda-minima/trust); [txtai trust report](/tools/neuml-txtai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dmayboroda-minima`](/api/graphcanon/graph?tool=dmayboroda-minima) - 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/_