Related: shares the task Automation agents
Team workspace for creating AI coworkers and scheduled or event-triggered automations through chat.
Freemium
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: Hobby gives 75 daily free credits on up to 10 days per month, plus a one-time 500-credit signup bonus. Starter is USD 29 per month with 2900 credits; credits cover included models and runtime, and paid plans do not charge per seat.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.
Related: shares the task Automation agents
Agent SDK and AgentOS runtime for combining agents into durable services, teams and workflows.
Open (open weights/source)
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: Self-hosting the open-source project and buying the hosted platform are separate choices. The hosted service has its own plans and usage limits; self-hosting still requires infrastructure and any model-provider charges.
Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.
Related: shares the task Automation agents
Python orchestration framework for composable agents, RAG pipelines and multimodal search.
Open (open weights/source)
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: The open-source software can be run on your own infrastructure. Compute, storage and any external model API usage are separate costs; a managed service is not included.
Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.
Related: shares the task Automation agents
Open-source framework for building LLM applications and agents, with LangSmith and LangGraph for observability and orchestration.
Open (open weights/source) MIT
Use cases
- Building RAG pipelines and chatbots
- Orchestrating multi-step agents
- Debugging and evaluating LLM applications
Pricing: The framework is free and open source; LangSmith offers a free tier plus paid plans for teams.
Pricing ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Automation agents
Open-source data framework for connecting LLMs to private data, powering retrieval-augmented generation and document agents.
Open (open weights/source) MIT
Use cases
- Building RAG over enterprise documents
- Question answering on PDFs and knowledge bases
- Document-processing agents
Pricing: The framework is free and open source; LlamaCloud and LlamaParse are usage-priced hosted services.
Pricing ↗ · Sources
This record was last reviewed on 2026-09-10.
Related: shares the task Automation agents
TypeScript framework for building agents, durable workflows and observable AI applications.
Open (open weights/source)
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: Self-hosting the open-source project and buying the hosted platform are separate choices. The hosted service has its own plans and usage limits; self-hosting still requires infrastructure and any model-provider charges.
Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.
Related: shares the task Automation agents
AI agent workspace, evolved from MindsDB, with model choice, connected business data and team spending controls.
Freemium
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: Hosted MindsHub advertises ongoing free access to its Air model under fair-use limits. A topped-up balance pays for other models; team budgets and spend controls do not make premium-model calls free. Running the source stack yourself has separate infrastructure and provider costs.
Pricing ↗ · Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.
Related: shares the task Automation agents
Typed Python AI SDK with validated outputs, tools and interchangeable model providers.
Open (open weights/source)
Use cases
- Development of tool-using agents
- Construction of retrieval-augmented applications
Pricing: The open-source software can be run on your own infrastructure. Compute, storage and any external model API usage are separate costs; a managed service is not included.
Documentation ↗ · Sources
This record was last reviewed on 2026-11-03.