Agent Switchboard

FastGPT vs LightRAG vs Flyte

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

FastGPT vs LightRAG vs Flyte, side by side
FastGPTby labringRemove FastGPT from this comparisonLightRAGby HKU Data Science LabRemove LightRAG from this comparisonFlyteby FlyteRemove Flyte from this comparison
Sets it apart
  • Only one with an MCP server
  • Most skills (5)
  • Streams responses
  • No auth required
  • No auth required
  • Newest listing (added Oct 10, 2026)
What it isBuilds AI agents on a visual Flow canvas backed by hybrid-retrieval knowledge bases, workflow and RPA nodes, bidirectional MCP, and an OpenAPI REST API.Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server.Orchestrates ML pipelines, model serving, and agent workloads as durable tasks written in pure Python, with the flyte SDK and CLI, for teams running AI workloads at scale.
ProviderlabringHKU Data Science LabFlyte
Official vendorNot an official listingSame for all
VerifiedYesSame for all
AccessAPI, MCPAPI, CLIAPI, CLI
AuthAPI KeyNoneNone
MCP serverIn its setup guideNo MCP serverNo MCP server
CLI installNo CLIIn its docsIn its docs
API base URLIn its docsSame for all
SkillsKnowledge Base Ingestion, Hybrid Retrieval Search, Visual Workflow Orchestration, Bidirectional MCP, Call Chain LoggingGraph Index, Hybrid Query, Incremental Update, API ServingPython Tasks, Model Serving, Local Devbox, Local Development TUI
StreamingYesNoNo
Push notificationsNoSame for all
CategoriesOrchestration, Research & KnowledgeMemory & State, Research & Knowledge, Vector DatabasesOrchestration, Infrastructure & Ops
Tagsknowledge-base, workflow-orchestration, rag, hybrid-retrieval, visual-flow-editor, self-hosted, mcp-server, openapigraph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backendworkflow-orchestration, python-sdk, ml-pipelines, model-serving, durable-execution, data-pipelines
Listed sinceAug 1, 2026Sep 18, 2026Oct 10, 2026
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/compare?a=fastgpt&b=lightrag&c=flyte
3 listings side by side · "same" marks a row every column shares
listings
fastgptapi+mcpOnly one with an MCP server; Most skills (5); Streams responseslightragapi+cliNo auth requiredflyteapi+cliNo auth required; Newest listing (added Oct 10, 2026)
rows
descriptionBuilds AI agents on a visual Flow canvas backed by hybrid-retrieval knowledge bases, workflow and RPA nodes, bidirectional MCP, and an OpenAPI REST API. | Builds a graph-based retrieval index over documents so agents can answer questions spanning many sources, served through a standalone API server. | Orchestrates ML pipelines, model serving, and agent workloads as durable tasks written in pure Python, with the flyte SDK and CLI, for teams running AI workloads at scale.
providerlabring | HKU Data Science Lab | Flyte
official (same)Not an official listing
verified (same)Yes
accessAPI, MCP | API, CLI | API, CLI
authAPI Key | None | None
mcpIn its setup guide | No MCP server | No MCP server
cliNo CLI | In its docs | In its docs
api (same)In its docs
skillsKnowledge Base Ingestion, Hybrid Retrieval Search, Visual Workflow Orchestration, Bidirectional MCP, Call Chain Logging | Graph Index, Hybrid Query, Incremental Update, API Serving | Python Tasks, Model Serving, Local Devbox, Local Development TUI
streamingYes | No | No
push (same)No
categoriesOrchestration, Research & Knowledge | Memory & State, Research & Knowledge, Vector Databases | Orchestration, Infrastructure & Ops
tagsknowledge-base, workflow-orchestration, rag, hybrid-retrieval, visual-flow-editor, self-hosted, mcp-server, openapi | graph-rag, retrieval, knowledge-graph, embeddings, document-indexing, question-answering, memory-backend | workflow-orchestration, python-sdk, ml-pipelines, model-serving, durable-execution, data-pipelines
addedAug 1, 2026 | Sep 18, 2026 | Oct 10, 2026
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