10 Open-Source No-Code AI Platforms for Building LLM Apps, RAG Systems, AI Agents

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I-HKUDS AutoAgent

Indawo yokugcina: github.com/HKUDS/AutoAgent · Ilayisensi: MIT · Iphepha: arXiv:2502.05957

I-AutoAgent iwuhlaka lwe-ejenti yekhodi enguziro oluvela eNyuvesi yaseHong Kong Data Intelligence Lab. Uchaza umgomo ngolimi lwemvelo. Uhlelo lube se lwakha amathuluzi, ama-ejenti, nokugeleza komsebenzi kwama-ejenti amaningi ngaphandle kokufaka ikhodi ngesandla. Ithumela umhleli we-ejenti, umhleli wokuhamba komsebenzi, kanye nemodi yomsizi wocwaningo esekulungele ukusetshenziswa.

Iphrojekthi isekelwe ocwaningweni. Iphepha layo ligomela ngokuthi izinhlaka zama-ejenti zibakhiphele ngaphandle abangebona abenzi bezinhlelo, futhi libika imiphumela eqinile yomthombo ovulekile kubhentshimakhi ye-GAIA. I-AutoAgent iphinde isebenze njengenye indlela evulekile yemikhiqizo ye-Deep Research esingethwe. Isebenza nama-LLM amaningi amakhulu, okuhlanganisa i-DeepSeek, i-Grok, ne-Gemini, futhi isebenza nge-CLI esekwe ku-Docker.

Kulungele: abacwaningi nodokotela abafuna ukuhlanganisa ama-agent kanye nabasizi besitayela Socwaningo Olujulile kusukela olimini lwemvelo, abanephepha namabhentshimakhi ngemuva kohlaka.

I-Mintplex Labs AnythingLLM

Indawo yokugcina: github.com/Mintplex-Labs/anything-llm · Ilayisensi: MIT · Isizinda: anythingllm.com

I-AnythingLLM iyinkundla yokukodwa, ezibambela yona ye-RAG, ama-ejenti, nengxoxo yedokhumenti. Isebenza njengohlelo lokusebenza lwedeskithophu noma isitsha se-Docker. Idizayini iqondise kubasebenzisi abangebona abezobuchwepheshe ngenkathi igcina ubumfihlo-kuqala, ukuma kwendawo yokuqala. Umakhi we-No-code Agent Flows uphatha i-logic ye-ejenti ngaphandle kombhalo.

Amakhono ahlanganisa ukusebenzisana okuphelele kwe-MCP, okokufaka kwezindlela eziningi, namawijethi engxoxo ashumekiwe. Isekela abahlinzeki be-LLM abangu-30-plus kanye nemininingwane eminingi ye-vector. Amadokhumenti ahlala endaweni yakho, evumelana namathimba anemithetho eqinile yedatha. Iphrojekthi esekelwa yi-Y Combinator isebenzisa ilayisense ye-MIT evumelayo, ngakho ukusetshenziswa kwezohwebo nokuqashelwa abantu abaningi kuqondile.

Kulungele: abantu ngabanye namathimba amancane afuna idokhumenti eyimfihlo ye-Q&A, ama-ejenti, nokusetshenziswa okulula ngaphandle kokuhlanganisa izingxenye.

I-LangChain Open Agent Platform (OAP)

Indawo yokugcina: github.com/langchain-ai/open-agent-platform · Ilayisensi: MIT

I-Open Agent Platform iyi-no-code ye-LangChain, isixhumi esibonakalayo esisekelwe kuwebhu sokwakha nokuphatha ama-ejenti e-LangGraph. Iqondiswe kwabangebona onjiniyela kodwa ihlala inwetshiwe konjiniyela. I-ejenti ngayinye iyisilungiselelo esifakwe kugrafu ye-LangGraph, ngakho abasebenzisi bamandla bangakwazi ukungena kukhodi uma kudingeka.

Izici eziyinhloko zifaka i-RAG yekilasi lokuqala nge-LangConnect, ukufinyelela kwamathuluzi ngamaseva e-MCP, kanye ne-orchestration enabenzeli abaningi nge-Agent Supervisor. Ukuqinisekisa nokulawula ukufinyelela kwakhelwe ngaphakathi, nge-Supabase njengomhlinzeki ozenzakalelayo. Inkundla ithumela ama-agent akhiwe ngaphambilini, okuhlanganisa I-Ejenti Yamathuluzi kanye Nomphathi, futhi ingafokhwa futhi yenziwe ngendlela oyifisayo. Iphrojekthi entsha, encane kunezinye izinto ezifakiwe lapha.

Kulungele: amaqembu asevele etshale imali ku-LangChain kanye ne-LangGraph ecosystem efuna ungqimba lwe-GUI phezu kwabenzeli bawo.

I-Sim (Isitudiyo se-Sim)

Indawo yokugcina: github.com/simstudioai/sim · Ilayisensi: Apache-2.0 · Isayithi: sim.ai

U-Sim ungumakhi wokugeleza komsebenzi obonakalayo, owokuqala we-ejenti onekhanvasi efana ne-Figma. Uhudula amabhulokhi afana ne-Start, Agent, Function, API, Router, ne-Loop ukuze ubhale amapayipi. I-AI Copilot isiza ukuhlanganisa ukuhamba komsebenzi, futhi ungakha ngesiNgisi esilula. Ukulandelela okwakhelwe ngaphakathi nokusebenza bukhoma kwenza ukulungisa iphutha kube sobala.

Iphrojekthi inelayisensi ye-Apache-2.0 futhi isekelwa yi-YC. Ixhumeka kumathuluzi angu-1,000-plus kanye nabo bonke abahlinzeki abakhulu be-LLM, futhi isekela i-MCP ekuhlanganiseni ngokwezifiso. Ungasebenzisa inguqulo esingethwe noma uzibambele ngokwakho nge-Docker. Umsebenzi wakamuva uwudlulisela “endaweni yokusebenza ye-AI” ebanzi nge-orchestration yengxoxo.

Kulungele: amaqembu afuna ikhanvasi ebonakalayo ehlanzekile, ikhophi ye-AI, kanye nokukhiqiza ngaphansi kwelayisensi evumela.

LangGenius Dify

Inqolobane: github.com/langgenius/dify · Ilayisensi: I-Apache-2.0 eshintshiwe (i-SaaS ikhawulelwe) · Isayithi: dify.ai ·

I-Dify iyinkundla yesicelo se-LLM egxile ekukhiqizeni. Ihlanganisa ukwakhiwa kokugeleza komsebenzi okubukwayo, amapayipi e-RAG, amandla e-ejenti, nokuqapha kwe-LLMOps. I-Prompt IDE ikuvumela ukuthi uqhathanise imiphumela yemodeli eceleni. Ukusesha kwekhava yamathuluzi angamashumi amahlanu nangaphezulu, ukukhiqizwa kwezithombe, nokubala.

I-Dify igcizelela umjikelezo wempilo ogcwele, ukusuka ku-prototyping kuya ekubonakaleni. Ukufakwa kwedokhumenti kusingatha amafomethi afana ne-PDF ne-PPT. Iphrojekthi inesisekelo esikhulu sabanikeli futhi itholakala njenge-Dify Cloud noma izibambele yona ngokwakho. Qaphela ilayisensi: iyi-Apache-2.0 eguquliwe ekhawulela ukusetshenziswa kwe-SaaS yabaqashi abaningi futhi idinga ilayisense yezohwebo kulawo macala. Buyekeza imigomo ngaphambi kokuyithengisa kabusha njengesevisi.

Kulungele: ukwakhiwa kwamaqembu nokusebenzisa izinhlelo zokusebenza ze-LLM ezidinga ukuphathwa ngokushesha, i-RAG, ama-ejenti, nokuqapha kwesikhathi sokusebenza endaweni eyodwa.

I-FlowiseAI Iyahamba

Inqolobane: github.com/FlowiseAI/Flowise · Ilayisensi: Apache-2.0 core · Site: flowiseai.com

U-Flowise ungumakhi wokudonsa nokuwisa wezinhlelo zokusebenza ze-LLM, ezakhelwe ku-LangChain. Uhlanganisa ama-chatbots, amapayipi e-RAG, namasistimu ama-ejenti amaningi kukhanvasi. Izindlela zomakhi ezintathu, Umsizi, i-Chatflow, ne-Agentflow, zifanisa amazinga akhulayo okuba yinkimbinkimbi. Izifanekiso ezenziwe ngomumo zifinyeza indlela esuka embonweni iye ku-prototype.

I-Flowise isilungele i-RAG futhi ihlanganisa namathuluzi angu-100-plus, isizindalwazi se-vector, namamojula enkumbulo. Izici zebhizinisi zifaka i-RBAC, amalogi okuhlola, ukubonwa, kanye ne-SSO/SAML. Ungakwazi ukushumeka abasizi nge-SDK noma iwijethi. Umnyombo yi-Apache-2.0, kodwa amafayela angaphansi kohla lwemibhalo yebhizinisi lawo aphethe ilayisense yokuhweba ehlukile, ngakho hlola ukuthi yiziphi izici ozidingayo. Ukuthunyelwa kusebenza endaweni, e-Docker, kumafu amakhulu, noma nge-Flowise Cloud ephethwe.

Kulungele: onjiniyela abafuna umgoqo ophansi kakhulu wohlelo lokusebenza lwe-LLM olusebenzayo, onokugxumela okulula okushumekayo, abasizi bebanga lokukhiqiza.

I-Langflow

Indawo yokugcina: github.com/langflow-ai/langflow · Ilayisensi: MIT · Igcinwe yi-DataStax

I-Langflow iyinkundla ebonakalayo yokwakha ama-agent e-AI kanye nokuhamba komsebenzi. Konke ukugeleza kungavezwa njenge-API noma iseva ye-MCP, bese kuhlanganiswe ezinhlelweni zokusebenza kunoma yiluphi uhlaka. Umhleli wokudonsa nokuwisa usheshisa i-prototyping, kuyilapho ukufinyelela okugcwele komthombo wePython kuvumela ukwenza ngokwezifiso okujulile.

Izici zifaka i-orchestration enabenzeli abaningi nokuhlanganiswa ngamathuluzi okubuka njenge-LangSmith ne-LangFuse. Isekela wonke ama-LLM amakhulu, okuhlanganisa amamodeli endawo, futhi ithumela uhlelo lokusebenza lwedeskithophu lwe-Windows ne-macOS. Ilayisense yayo ye-MIT evumelayo yenza ukuthunyelwa kwezentengiselwano nabaqashi abaningi kube lula. Kuphathe njengekhodi ephansi: ebonakalayo ngokuzenzakalelayo, kodwa i-code-friendly ukuze uthole ukuqonda okuthuthukile.

Kulungele: onjiniyela abafuna isixhumi esibonakalayo esibonakalayo ngaphezu kwe-ejenti enwebekayo, enekhodi kanye nokwakhiwa kokugeleza komsebenzi, ngezinketho eziqinile zokubonakala.

I-InfiniFlow RAGFlow

Inqolobane: github.com/infiniflow/ragflow · Ilayisensi: Apache-2.0 · Idemo: demo.ragflow.io

I-RAGFlow iyinjini ye-RAG eyakhelwe ekuqondeni okujulile kwedokhumenti. Isendlalelo sayo se-DeepDoc sihlaziya ukwakheka, amatafula, izibalo, nama-PDF askeniwe ngaphambi kokuba noma yini ifinyelele esitolo se-vector. Lokho kujula kokuhlaziya kuwumahluko wawo oyinhloko kumadokhumenti ebhizinisi angcolile. Izinguqulo zakamuva zihlanganisa i-RAG namandla e-ejenti ukuze uthole isendlalelo somongo esiqinile.

Amakhono ahlanganisa ukukhishwa kolwazi lwesitayela se-GraphRAG, ukubona iziqephu ukuze kubuyekezwe abantu, nezimpendulo ezisekelwe ezicashuniwe ezilandelekayo. Isekela i-Word, amaslayidi, i-Excel, izithombe, namakhasi ewebhu. Iseva ye-MCP kanye ne-Python SDK iyayinweba, futhi ukusetshenziswa kuhamba nge-Docker. I-UI yewebhu iphatha izisekelo zolwazi ngaphandle kwekhodi, nakuba ukusetha kusinda kakhulu nengqalasizinda. Ilayisense ye-Apache-2.0 iyasebenziseka kwezohwebo.

Kulungele: amaqembu ukunemba kwawo kuncike ekuhlukaniseni amadokhumenti ayinkimbinkimbi ngendlela efanele, futhi abazisa izingcaphuno kanye nokubuyiswa okuchazekayo.

n8n

Inqolobane: github.com/n8n-io/n8n · Ilayisensi: Ilayisense Yokusebenzisa Okuzinzile (ikhodi-fair) · Isayithi: n8n.io

I-n8n iyinkundla yokuzenzakalela kokuhamba komsebenzi ene-AI yomdabu. Ibhangqa umakhi obonakalayo nekhodi yomugqa wokuzikhethela. Ngokuhlanganisa okungu-400-plus kanye namanodi e-AI asekelwe ku-LangChain, ihlanganisa okuzenzakalelayo kwesitayela se-Zapier kanye nokugeleza komsebenzi kwe-ejenti. Ungakwazi ukwengeza i-JavaScript, i-Python, namaphakheji we-npm ngaphakathi kokugeleza okubukwayo.

Ukuzisingatha ngokwakho kunikeza ukulawula idatha egcwele, okuhlanganisa ukuthunyelwa okunezikhala zomoya kanye ne-SSO. Ilabhulali yesifanekiso esikhulu isheshisa amaphethini avamile. Qaphela ilayisensi: i-n8n isebenzisa “ikhodi efanelekile” Ilayisensi Yokusebenzisa Okuzinzile, etholakala ngomthombo ngemikhawulo yezentengiso kunomthombo ovulekile ogunyazwe yi-OSI. Amanye amafayela ebhizinisi anelayisense ngokuhlukile. Ihlukaniswa kangcono njengekhodi ephansi, njengoba ikhodi yangokwezifiso iyindlela yezinga lokuqala.

Kulungele: amaqembu enza ngokuzenzakalelayo ukugeleza komsebenzi okubanzi manje adinga izinyathelo ze-AI ne-ejenti, enokufakwa okuqinile kokuhlanganisa kanye nokuzibamba ngokwakho.

I-Labring FastGPT

Indawo yokugcina: github.com/labring/FastGPT · Ilayisensi: Apache-2.0 enemibandela eyengeziwe · Isayithi: fastgpt.io

I-FastGPT iyinkundla yolwazi eyakhelwe kuma-LLM. Ihlinzeka ngokucutshungulwa kwedatha engaphandle kwebhokisi, ukubuyisa i-RAG, kanye ne-orchestration yokugeleza komsebenzi obonakalayo ngemojula ye-Flow. Isici esiwusizo sikhiqiza ngokuzenzakalelayo ukupheya kwezimpendulo zemibuzo kusuka kumadokhumenti ukuze kuthuthukiswe ukubuyiswa phezu kwe-chunking engenangqondo. I-Docker-liner eyodwa iyenza isebenze ngokushesha.

Iphrojekthi ibika abasebenzisi abangu-500,000-kanye futhi isekela amafomethi amaningi amadokhumenti, kanye nokufundwa kwe-URL nokungenisa kwe-CSV. Idalula i-API ukuze ishumekwe ezinhlelweni zokusebenza. Buyekeza ilayisense ngokucophelela: i-Apache-2.0 enemibandela eyengeziwe evumela ukusetshenziswa kwezentengiselwano kodwa ibeke umkhawulo ekuyisebenziseni njenge-SaaS eqasha abantu abaningi ngaphandle kokugunyazwa. Idumile ku-ecosystem yonjiniyela wase-China futhi ayimbozwanga kangako kumidiya yesiNgisi.

Kulungele: amaqembu akha abasizi abasekelwe kudokhumenti abafuna amathuluzi aqinile esisekelo solwazi kanye nesiqalo esisheshayo sokusingathwa.

Ukuqhathanisa okusheshayo

*Iphethe imikhawulo yezohwebo noma ye-SaaS. Qinisekisa imigomo yelayisensi ngaphambi kokuthengisa kabusha noma ukusingathwa kwabaqashi abaningi.

Indlela yokukhetha

Ukuze uthole ukwakheka komenzeli okumsulwa ngesiNgisi esilula, qala nge-AutoAgent noma I-Open Agent Platform. Kuhlelo lokusebenza oluyimfihlo lwe-RAG kanye nohlelo lokusebenza lomenzeli, i-AnythingLLM iyindlela eshesha kakhulu. Ukuze uthole ukunemba kwedokhumenti kumafayela ayinkimbinkimbi, ukucozulula kwe-RAGFlow yikona okuhlukanisayo.

Ngokwakhiwa kokugeleza komsebenzi okubukwayo, i-Flowise inikeza umgoqo ophansi kakhulu, kuyilapho i-Langflow ne-Sim yengeza amandla engeziwe kanye nokwandiswa kwekhodi. Ngemisebenzi yokukhiqiza nokuqapha, i-Dify ifaka umjikelezo wempilo ogcwele. Ngokuzenzakalela okubanzi manje okudinga izinyathelo ze-AI, i-n8n inokufakwa okubanzi kokuhlanganisa. Kwabasizi besisekelo solwazi, i-FastGPT inikeza amathuluzi anamandla angaphandle kwebhokisi.

Okuthathwayo okubalulekile

• Isitaki sesikhulile: ukubuyiswa, ama-ejenti, nokugeleza komsebenzi manje kuthunyelwa njengamathuluzi abonakalayo noma esiNgisi esilula.
• 'No-code' iyi-spectrum; amapulatifomu amaningana aklomelisa ikhodi yangokwezifiso futhi abizwa kangcono ngekhodi ephansi.
• Amalayisense ayahluka: I-AutoAgent, AnythingLLM, Open Agent Platform, kanye ne-Langflow iyavumela (MIT); I-Sim ne-RAGFlow yi-Apache-2.0; I-Dify, i-Flowise ibhizinisi, i-n8n, ne-FastGPT iphethe imikhawulo.
• Khetha ngomsebenzi: I-RAGFlow yamadokhumenti aqinile, Igeleza ngesivinini, i-Dify ukuze ikhiqize, i-n8n yokuzenzakalela.
• Ukuzibamba ngokwakho kuvamile kuzo zonke eziyishumi, okugcina ukulawulwa kwedatha endaweni yakho.