CL4R1T4S

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CL4R1T4S is an open-source Clojure-based AI agent framework that simplifies the orchestration of LLM-powered workflows. It provides modules to define agent roles, manage tool invocations, maintain conversation memory, and route tasks dynamically. With a minimalistic API, developers can build custom chatbots, automation pipelines, and multi-step reasoning systems. CL4R1T4S integrates seamlessly with OpenAI and other LLM providers, enabling rapid prototyping of intelligent agents in Clojure applications.
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May 07 2025
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CL4R1T4S

CL4R1T4S

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CL4R1T4S
CL4R1T4S is an open-source Clojure-based AI agent framework that simplifies the orchestration of LLM-powered workflows. It provides modules to define agent roles, manage tool invocations, maintain conversation memory, and route tasks dynamically. With a minimalistic API, developers can build custom chatbots, automation pipelines, and multi-step reasoning systems. CL4R1T4S integrates seamlessly with OpenAI and other LLM providers, enabling rapid prototyping of intelligent agents in Clojure applications.
Added on:
Social & Email:
Platform:
May 07 2025
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What is CL4R1T4S?

CL4R1T4S empowers developers to build AI agents by offering core abstractions: Agent, Memory, Tools, and Chain. Agents can use LLMs to process input, call external functions, and maintain context across sessions. Memory modules allow storing conversation history or domain knowledge. Tools can wrap API calls, allowing agents to fetch data or perform actions. Chains define sequential steps for complex tasks like document analysis, data extraction, or iterative querying. The framework handles prompt templates, function calling, and error handling transparently. With CL4R1T4S, teams can prototype chatbots, automations, and decision support systems, leveraging Clojure’s functional paradigm and rich ecosystem.

Who will use CL4R1T4S?

  • Clojure developers
  • AI researchers
  • NLP engineers
  • Software architects
  • Chatbot builders

How to use the CL4R1T4S?

  • Step1: Add the CL4R1T4S dependency to your project.clj or deps.edn.
  • Step2: Configure your OpenAI API key and provider settings.
  • Step3: Define agents, memory modules, and tools using provided macros.
  • Step4: Create prompt templates and configure function calls.
  • Step5: Compose chains or workflows to orchestrate multi-step tasks.
  • Step6: Run the agent with input and retrieve structured responses.
  • Step7: Monitor logs, inspect memory, and tune prompts as needed.
  • Step8: Deploy your Clojure application with integrated AI agents.

Platform

  • mac
  • windows
  • linux

CL4R1T4S's Core Features & Benefits

The Core Features

  • Agent orchestration
  • Memory management
  • Tool integration
  • Chain execution
  • Prompt templating
  • LLM provider abstraction
  • Function calling
  • Logging and debugging

The Benefits

  • Rapid prototyping of AI agents
  • Lightweight with minimal dependencies
  • Seamless integration into Clojure ecosystem
  • Customizable multi-step workflows
  • Robust context and state management
  • Open-source and extensible

CL4R1T4S's Main Use Cases & Applications

  • Interactive chatbots for customer support
  • Automated document summarization
  • Data extraction and ETL pipelines
  • Knowledge base question answering
  • Multi-step decision support systems
  • Workflow automation for business tasks

FAQs of CL4R1T4S

CL4R1T4S Company Information

CL4R1T4S Reviews

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CL4R1T4S's Main Competitors and alternatives?

  • LangChain
  • Haystack
  • Semantic Kernel
  • Rasa
  • Botpress
  • LlamaIndex

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