{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-lemon-agent","slug":"lemon-agent","name":"Lemon Agent","type":"agent","url":"https://github.com/felixbrock/lemon-agent","page_url":"https://unfragile.ai/lemon-agent","categories":["ai-agents","automation"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-lemon-agent__cap_0","uri":"capability://planning.reasoning.plan.and.solve.dual.agent.workflow.orchestration","name":"plan-and-solve dual-agent workflow orchestration","description":"Implements a two-phase agent architecture where a PlannerAgent analyzes natural language requests and generates high-level execution strategies, while a SolverAgent executes those plans step-by-step through a structured ExecuteWorkflow use case. This separation of concerns improves accuracy by allowing each agent to specialize in planning vs. execution, reducing hallucination and improving task decomposition reliability compared to single-agent approaches.","intents":["I want to automate a multi-step workflow across several external services without writing code","I need an agent that can break down complex tasks into executable steps and validate each step before running it","I want to ensure my automation workflows are accurate and don't make mistakes by separating planning from execution"],"best_for":["teams automating cross-service workflows (GitHub + Slack + HubSpot, etc.)","enterprises requiring supervised AI execution with approval gates","developers building custom automation agents with human-in-the-loop controls"],"limitations":["Requires explicit LLM API calls for both planning and solving phases, adding latency (~2-3 seconds per workflow)","Plan quality depends on LLM capability; weaker models may generate incomplete or incorrect execution strategies","No built-in plan caching or memoization, so identical requests re-plan each time"],"requires":["LLM API access (OpenAI, Anthropic, or compatible)","Node.js runtime for agent execution","API credentials for target services (GitHub, Slack, HubSpot, etc.)"],"input_types":["natural language task description","structured workflow configuration with tool parameters"],"output_types":["execution plan (structured steps with tool calls)","workflow execution results with status per step","approval prompts for permission-required operations"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_1","uri":"capability://tool.use.integration.120.service.integrations.with.unified.tool.catalog","name":"120+ service integrations with unified tool catalog","description":"Provides a centralized tool registry spanning 9 major service categories (GitHub, Slack, HubSpot, Notion, Airtable, Monday.com, Discord, Medium, HackerNews) with 120+ individual tools, each identified by unique toolId and configurable with execution parameters including userPermissionRequired flags. Tools are abstracted through a connector pattern that normalizes API differences across heterogeneous services into a unified invocation interface.","intents":["I want to automate tasks across multiple SaaS platforms without building custom integrations for each one","I need to discover what operations are available on each service and how to invoke them from an agent","I want to control which operations require human approval before execution (e.g., deleting repos, posting to channels)"],"best_for":["teams using multiple SaaS tools (GitHub, Slack, HubSpot, Notion) and wanting unified automation","platform builders creating agent-driven automation marketplaces","enterprises with complex multi-tool workflows requiring governance (approval gates per tool)"],"limitations":["Tool coverage is fixed to 9 service categories; adding new services requires code changes to connector package","API rate limits of underlying services apply directly; no built-in rate limiting or queuing layer","Tool parameters must be explicitly configured; no automatic parameter inference from service schemas"],"requires":["API credentials for each target service (GitHub token, Slack token, HubSpot API key, etc.)","Service-specific authentication setup (OAuth for some, API keys for others)","Knowledge of tool parameters and expected input/output formats"],"input_types":["toolId (string identifier)","tool parameters (service-specific JSON object)","execution context (user permissions, approval status)"],"output_types":["tool execution result (service-specific response)","execution status (success/failure/pending-approval)","error details with service-specific error codes"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_10","uri":"capability://automation.workflow.multi.service.workflow.composition.with.parameter.mapping","name":"multi-service workflow composition with parameter mapping","description":"Enables composition of workflows that span multiple services by mapping outputs from one tool as inputs to subsequent tools. The system maintains execution context across steps, allowing data flow between services (e.g., GitHub issue ID → Slack notification, HubSpot contact → Notion database entry). Parameter mapping is configured in the execution plan and validated at runtime.","intents":["I want to create a workflow where output from one service feeds into another (e.g., GitHub issue → Slack alert → HubSpot ticket)","I need to transform and map data between different service APIs as it flows through my workflow","I want to build complex automation that coordinates multiple tools without manual data transfer"],"best_for":["teams with complex cross-service workflows (DevOps + communication + CRM)","organizations automating end-to-end processes spanning multiple platforms","developers building sophisticated automation agents with data transformation"],"limitations":["Parameter mapping is static (defined at plan time); no dynamic transformation based on runtime values","No built-in data transformation language; complex transformations require custom code","Type mismatches between service outputs and subsequent inputs can cause runtime failures"],"requires":["Execution plan with explicit parameter mapping between steps","Knowledge of output schemas from each tool","Validation rules for parameter compatibility"],"input_types":["execution plan with step dependencies and parameter mappings","tool outputs from previous steps"],"output_types":["mapped parameters for subsequent tool invocations","transformation results","validation errors if mapping fails"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_11","uri":"capability://tool.use.integration.connector.pattern.abstraction.for.service.api.normalization","name":"connector pattern abstraction for service api normalization","description":"Implements a connector architecture that abstracts service-specific API differences behind a unified interface. Each service (GitHub, Slack, HubSpot, etc.) has a dedicated connector that handles authentication, API versioning, error translation, and response normalization, allowing agents to invoke tools without knowledge of underlying API details.","intents":["I want to add support for new services without rewriting agent logic","I need to handle service API changes and versioning transparently","I want agents to work with a consistent tool interface regardless of underlying service"],"best_for":["platform teams building extensible agent systems with multiple service integrations","organizations managing multiple service versions and API migrations","developers adding new service integrations to existing agent systems"],"limitations":["Adding new services requires implementing a new connector; no automatic API wrapping","Connector maintenance burden increases with each new service added","Service-specific features may be lost in normalization; lowest-common-denominator functionality"],"requires":["Connector interface definition (abstract base class or protocol)","Service-specific authentication and API client libraries","Error mapping and response normalization logic per service"],"input_types":["tool invocation request (toolId, parameters)","service credentials and configuration"],"output_types":["normalized tool response (consistent schema across services)","error information (translated to common error types)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_2","uri":"capability://safety.moderation.human.in.the.loop.approval.gates.for.sensitive.operations","name":"human-in-the-loop approval gates for sensitive operations","description":"Implements supervised execution through userPermissionRequired field in workflow configurations, where the system prompts users for explicit approval before executing potentially sensitive operations (e.g., deleting repositories, posting to public channels, modifying critical data). Approval state is tracked per workflow step and blocks execution until user confirmation is received.","intents":["I want to prevent my automation agent from accidentally deleting or modifying critical data without my approval","I need to review and approve certain operations before they execute in production","I want to implement governance controls where some tools require human sign-off before running"],"best_for":["enterprises with compliance requirements (SOX, HIPAA) requiring audit trails for sensitive operations","teams managing production systems where accidental changes have high cost","organizations implementing AI governance policies with human oversight"],"limitations":["Approval prompts are synchronous; workflow execution blocks until user responds, adding latency","No built-in timeout for approval requests; workflows can hang indefinitely if user doesn't respond","Approval decisions are not persisted; no audit log of who approved what and when (requires external logging)"],"requires":["Interactive user interface or API endpoint to receive and respond to approval prompts","User session management to track who is approving operations","Workflow state persistence to maintain approval status across requests"],"input_types":["workflow step configuration with userPermissionRequired flag","user approval response (boolean: approved/rejected)"],"output_types":["approval prompt with operation details","approval decision status","execution result (only if approved)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_3","uri":"capability://automation.workflow.workflow.execution.with.step.by.step.validation.and.error.handling","name":"workflow execution with step-by-step validation and error handling","description":"Executes planned workflows through the ExecuteWorkflow use case, which processes each step sequentially, validates inputs against tool schemas, invokes the appropriate service connector, and captures execution results with detailed error information. Failed steps can trigger retry logic or fallback handlers, and execution state is maintained throughout the workflow lifecycle.","intents":["I want to execute a multi-step automation workflow and know the status of each step","I need detailed error information when a workflow step fails so I can debug or retry","I want to handle failures gracefully (retry, skip, or fallback) rather than stopping the entire workflow"],"best_for":["developers building reliable automation workflows that must handle partial failures","teams running long-running workflows across multiple services where individual steps may fail","systems requiring detailed execution logs and audit trails for compliance"],"limitations":["No built-in retry logic; failed steps must be manually retried or require custom error handlers","Execution is strictly sequential; no parallel step execution even for independent steps","Workflow state is in-memory; no persistence across server restarts without external state store"],"requires":["Execution context with user permissions and approval status","Tool schemas and parameter validation rules","Service connectors for each tool being invoked"],"input_types":["execution plan (array of workflow steps with tool IDs and parameters)","execution context (user, permissions, approval decisions)"],"output_types":["step execution results (per-step status, output, errors)","workflow completion status (success/partial-failure/failure)","detailed error logs with service-specific error codes"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_4","uri":"capability://data.processing.analysis.execution.analytics.with.tool.usage.heatmaps.and.frequency.analysis","name":"execution analytics with tool usage heatmaps and frequency analysis","description":"Generates visualization of tool usage patterns through execution log analysis, producing heatmaps that show which tools are invoked most frequently and in what temporal patterns. Analytics are computed from historical execution logs and enable identification of automation bottlenecks, most-used integrations, and workflow optimization opportunities.","intents":["I want to understand which tools and integrations are most heavily used in my automation workflows","I need to identify bottlenecks or inefficient patterns in my automation execution","I want to optimize my workflows based on actual usage patterns and frequency data"],"best_for":["teams managing large numbers of automation workflows and needing visibility into usage patterns","platform operators monitoring agent system health and identifying popular integrations","organizations optimizing automation ROI by understanding which tools drive the most value"],"limitations":["Analytics are computed post-execution; no real-time monitoring or alerting on anomalies","Heatmap generation requires sufficient historical data; sparse execution logs produce low-signal visualizations","No built-in anomaly detection; identifying problematic patterns requires manual inspection"],"requires":["Execution logs with timestamps and tool invocation records","Visualization library (likely D3.js or similar for heatmap rendering)","Historical data spanning sufficient time period for meaningful patterns"],"input_types":["execution logs (array of tool invocations with timestamps)"],"output_types":["heatmap visualization (tool usage by time/frequency)","frequency statistics (tool invocation counts, percentages)","temporal patterns (peak usage times, distribution)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_5","uri":"capability://planning.reasoning.natural.language.task.interpretation.and.plan.generation","name":"natural language task interpretation and plan generation","description":"The PlannerAgent accepts natural language task descriptions and generates structured execution plans by analyzing the request, identifying required tools, determining execution order, and mapping parameters. This leverages LLM reasoning to convert unstructured user intent into a formal workflow specification that the SolverAgent can execute.","intents":["I want to describe what I need automated in plain English without writing code or workflow definitions","I need the system to figure out which tools to use and in what order to accomplish my goal","I want to automate a task that spans multiple services without manually configuring each step"],"best_for":["non-technical users automating workflows through natural language","developers prototyping automation workflows quickly without manual plan definition","teams with domain expertise but limited automation/coding skills"],"limitations":["Plan quality depends on LLM capability; ambiguous requests may generate incorrect or incomplete plans","No clarification mechanism; system doesn't ask for disambiguation if request is ambiguous","Complex multi-service workflows may exceed LLM context windows, resulting in truncated plans"],"requires":["LLM API access (OpenAI, Anthropic, or compatible)","Tool catalog and descriptions available to LLM for reasoning","Service-specific knowledge embedded in LLM prompts"],"input_types":["natural language task description (string)"],"output_types":["structured execution plan (array of steps with tool IDs and parameters)","plan confidence/reasoning (explanation of how plan addresses the request)"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_6","uri":"capability://tool.use.integration.github.integration.with.repository.and.issue.management","name":"github integration with repository and issue management","description":"Provides 19 GitHub-specific tools covering repository operations (create, clone, delete, list), issue management (create, update, close, search), release management, and file operations (read, write, delete). Each tool is pre-configured with GitHub API bindings and handles authentication through GitHub tokens, enabling agents to perform full repository lifecycle management.","intents":["I want to automate GitHub repository management tasks (creating repos, managing issues, creating releases)","I need to programmatically read and modify files in GitHub repositories from an agent","I want to automate issue triage, labeling, and assignment workflows"],"best_for":["DevOps teams automating repository provisioning and management","engineering teams automating issue triage and release workflows","platform teams building GitHub-integrated automation systems"],"limitations":["GitHub API rate limits apply directly (60 requests/hour for unauthenticated, 5000/hour for authenticated)","Large file operations (>100MB) may timeout; no built-in chunking or streaming","No support for GitHub Enterprise Server; cloud API only"],"requires":["GitHub personal access token or OAuth token with appropriate scopes","Target repository access (public or private with token permissions)","GitHub API v3 or v4 compatibility"],"input_types":["repository identifiers (owner/repo format)","issue/PR numbers","file paths and content","release metadata"],"output_types":["repository metadata (name, description, URL, stats)","issue/PR data (title, body, state, labels, assignees)","file content (raw text or binary)","release information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_7","uri":"capability://tool.use.integration.slack.integration.with.channel.messaging.and.user.management","name":"slack integration with channel, messaging, and user management","description":"Provides 41 Slack-specific tools covering channel operations (create, list, archive, delete), messaging (send, update, delete, search), file operations (upload, download), and user management (list, invite, remove). Tools handle Slack API authentication through bot tokens and workspace configuration, enabling agents to manage Slack workspaces and automate communication workflows.","intents":["I want to automate Slack channel creation, management, and archival based on project lifecycle","I need to send notifications and messages to Slack channels from my automation workflows","I want to automate user management tasks like inviting team members or removing inactive users"],"best_for":["teams automating Slack workspace management and onboarding","platforms sending notifications and alerts through Slack","organizations automating communication workflows (alerts, approvals, notifications)"],"limitations":["Slack API rate limits apply (tier-based, typically 1 request/second for most endpoints)","Message editing is limited to 24 hours after posting; older messages cannot be modified","File uploads limited to 20MB per file; no built-in chunking for larger files"],"requires":["Slack workspace admin access to create bot tokens","Bot token with appropriate OAuth scopes (chat:write, channels:manage, users:read, etc.)","Slack workspace ID and channel IDs for target channels"],"input_types":["channel names or IDs","message content (text, blocks, attachments)","user IDs or emails","file content and metadata"],"output_types":["channel metadata (name, topic, members, created_at)","message confirmation (timestamp, channel, user)","user information (ID, email, status, profile)","file metadata (URL, size, created_at)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_8","uri":"capability://tool.use.integration.hubspot.integration.with.contact.company.and.deal.management","name":"hubspot integration with contact, company, and deal management","description":"Provides 34 HubSpot-specific tools covering contact/company/deal CRUD operations, engagement tracking (calls, emails, meetings), ticketing, and pipeline management. Tools authenticate through HubSpot API keys and enable agents to manage the full HubSpot data model, automating sales and customer success workflows.","intents":["I want to automate lead management and contact enrichment in HubSpot","I need to create and update deals, track engagement, and manage sales pipelines programmatically","I want to automate customer support workflows through HubSpot ticketing"],"best_for":["sales teams automating lead management and pipeline workflows","customer success teams automating ticket creation and tracking","marketing teams automating contact enrichment and segmentation"],"limitations":["HubSpot API rate limits apply (500 requests/10 seconds for most endpoints)","Custom properties require pre-definition in HubSpot; agents cannot create new properties dynamically","Bulk operations limited to 100 records per request; large batch operations require multiple calls"],"requires":["HubSpot account with API access enabled","HubSpot API key (private app token)","Appropriate HubSpot plan tier (Professional or Enterprise for some features)"],"input_types":["contact/company/deal identifiers (email, ID, domain)","property names and values","engagement metadata (call duration, email subject, etc.)","pipeline stage identifiers"],"output_types":["contact/company/deal records (all properties)","engagement history (calls, emails, meetings)","ticket information (status, priority, assigned agent)","pipeline analytics (stage distribution, deal values)"],"categories":["tool-use-integration","automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-lemon-agent__cap_9","uri":"capability://tool.use.integration.notion.integration.with.database.and.page.operations","name":"notion integration with database and page operations","description":"Provides 16 Notion-specific tools for database operations (query, create, update, delete records), page management (create, update, delete, retrieve), and block manipulation (add, update, delete content blocks). Tools authenticate through Notion API tokens and enable agents to manage Notion workspaces as structured data sources and documentation systems.","intents":["I want to query and update Notion databases from my automation workflows","I need to create and manage Notion pages and documentation programmatically","I want to use Notion as a structured data store for my agent workflows"],"best_for":["teams using Notion as a knowledge base and wanting to automate content management","organizations using Notion databases as project management or CRM systems","developers building agent workflows that read/write to Notion as a data store"],"limitations":["Notion API rate limits (3 requests/second per integration); high-frequency updates may throttle","Database queries limited to 100 results per request; pagination required for larger datasets","Block manipulation is limited to specific block types; some Notion features not supported by API"],"requires":["Notion workspace with API access enabled","Notion integration token (internal integration or OAuth)","Database/page IDs (can be extracted from Notion URLs)"],"input_types":["database IDs","page IDs","property names and values","filter and sort criteria","block content (text, headings, lists, etc.)"],"output_types":["database records (all properties)","page content (blocks, metadata)","query results (filtered/sorted records)","page URLs and metadata"],"categories":["tool-use-integration","automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["LLM API access (OpenAI, Anthropic, or compatible)","Node.js runtime for agent execution","API credentials for target services (GitHub, Slack, HubSpot, etc.)","API credentials for each target service (GitHub token, Slack token, HubSpot API key, etc.)","Service-specific authentication setup (OAuth for some, API keys for others)","Knowledge of tool parameters and expected input/output formats","Execution plan with explicit parameter mapping between steps","Knowledge of output schemas from each tool","Validation rules for parameter compatibility","Connector interface definition (abstract base class or protocol)"],"failure_modes":["Requires explicit LLM API calls for both planning and solving phases, adding latency (~2-3 seconds per workflow)","Plan quality depends on LLM capability; weaker models may generate incomplete or incorrect execution strategies","No built-in plan caching or memoization, so identical requests re-plan each time","Tool coverage is fixed to 9 service categories; adding new services requires code changes to connector package","API rate limits of underlying services apply directly; no built-in rate limiting or queuing layer","Tool parameters must be explicitly configured; no automatic parameter inference from service schemas","Parameter mapping is static (defined at plan time); no dynamic transformation based on runtime values","No built-in data transformation language; complex transformations require custom code","Type mismatches between service outputs and subsequent inputs can cause runtime failures","Adding new services requires implementing a new connector; no automatic API wrapping","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.34,"ecosystem":0.49999999999999994,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:03.577Z","last_scraped_at":"2026-05-03T14:00:10.321Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=lemon-agent","compare_url":"https://unfragile.ai/compare?artifact=lemon-agent"}},"signature":"e51r/OXkT6QgOuUpv0xe+39iq0pjaw4sFdlCR+7ysonJfwaBQtctcXDxtBYf+FHPTcErSbMBmyChMRFN+0qZDg==","signedAt":"2026-06-20T09:46:34.540Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/lemon-agent","artifact":"https://unfragile.ai/lemon-agent","verify":"https://unfragile.ai/api/v1/verify?slug=lemon-agent","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}