zmedelis/bosquet

Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.

46
/ 100
Emerging

This project helps AI application builders manage the complexity of Large Language Model (LLM) applications. It takes in structured prompts, external API definitions, and conversational history, and outputs well-formed LLM responses and managed interactions. This is for the AI application builder who needs to orchestrate LLM calls, handle conversational memory, and integrate external tools.

366 stars.

Use this if you are building an AI application and need robust ways to manage complex prompts, maintain conversational context (memory), and enable your AI to interact with external services.

Not ideal if you are looking for a simple, single-prompt LLM wrapper or if you are not building a complex AI application that requires state management and tool integration.

AI-application-development prompt-engineering LLM-orchestration AI-memory-management external-tool-integration
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

366

Forks

28

Language

Clojure

License

EPL-1.0

Last pushed

Jan 08, 2026

Commits (30d)

0

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