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Basic Information

Lemon Agent is a standalone supervised Plan-and-Solve agent designed to enable reliable workflow automation by allowing large language models to perform read and write operations against external services. It separates planning and execution by running a Planner agent to design solutions and a Solver agent to carry out workflow steps using tool integrations. The project provides a configurable workflow format (data/workflow.json) where steps and pre-execution conditions like userPermissionRequired can be declared. It targets developers who want to build UI or CLI frontends, or integrate the agent into frameworks such as LangChain. The repo includes examples, a demo, an analytics visualization for tool usage, and supports running locally with Node.js, pnpm and environment variables for OpenAI and GitHub tokens. The code is MIT licensed and the README notes the project is not under active maintenance.

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App Details

Features
Planner and Solver separation that follows Plan-and-Solve prompting to improve accuracy and focus. Configurable workflow definitions that act like reusable functions, allowing pre-execution conditions and fine-grained control over steps. Built-in support for human-in-the-loop approvals so the agent asks for permission before executing sensitive steps. Broad tool integration with over 120 tools and services including GitHub, Notion, Discord, Airtable, HubSpot, Medium and others. UI flexibility with a CLI client and the ability to build any custom UI on top. Analytics visualization (standalone HTML) to inspect tool call frequency and order. Example workflows, demo media, and instructions for local development using Node.js, pnpm and turbo.
Use Cases
Lemon Agent helps teams and developers automate multi-step tasks by combining LLM planning with deterministic execution through tool integrations. The planner/solver split reduces erroneous actions and keeps agents focused on sub-tasks, improving reliability for read/write operations across services. Configurable workflows let teams codify common processes, require user approvals where needed, and reuse steps as functions. The analytics heatmap aids debugging and reveals weak decision points so workflows can be hardened or made more deterministic. Because it can be used via CLI or embedded in custom UIs and integrated into frameworks, it accelerates prototyping and deployment of workflow automations that interact with CRMs, content platforms, issue trackers and collaboration tools.

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