CrewAI AMP vs txtai
CrewAI AMP
crewai.comtxtai
neuml.github.ioSide by side
| Figure | CrewAI AMP | txtai |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · LLM Application Development Frameworks | 8.0 (#8) | 8.3 (#6) |
| Deployment | Enterprise customers can deploy on CrewAI cloud, their own VPC, or their own infrastructure. | txtai API instances and workflows can run locally, on a server, on a cluster, or serverless; documented serverless options include AWS Lambda, Google Cloud Functions, Azure Cloud Functions, and Kubernetes with Knative. |
| Integrations | The pricing page lists GitHub integration, while the documentation describes triggers for Gmail, Slack, Salesforce, and other services. | The documentation describes agent support for Hugging Face and llama.cpp models, and OpenAI, Claude, and AWS Bedrock through LiteLLM. |
| Purpose | CrewAI AMP is an agent management platform for building, deploying, governing, and scaling AI agent workflows across enterprise applications, with or without code. | txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows. |
| Support | The pricing comparison lists community support for both plans and dedicated, Slack/Teams, and on-site support for Enterprise. | NeuML offers implementation guidance, development support, and AI consulting, with meetings or email as contact options. |
Plans
In their own words
txtai
txtai is an open-source framework for semantic search, language-model orchestration, and language-model workflows. Its embeddings database brings together sparse and dense vector indexes, graph networks, and relational databases. It supports vector search with SQL, object storage, topic modeling, graph analysis, and multimodal indexing, and can create embeddings from text, documents, audio, images, and video. Pipelines cover prompts, question answering, labeling, transcription, translation, and summarization; workflows combine pipelines with business logic, while agents can coordinate embeddings, pipelines, workflows, and other agents. Web and Model Context Protocol APIs are available, alongside JavaScript, Java, Rust, and Go bindings. txtai can run locally or be deployed on a server, cluster, or serverless environment. Install with pip or use Docker; Python 3.11 or later is supported. The software is free under the Apache 2.0 license. The API is open over HTTP by default, with HTTPS and token authorization options documented.