Open-source alternative to OpenAI Assistants API

Hacker News

GitHub: https://github.com/Superflows-AI/superflows Henry and Matt here: we’ve built Superflows - a fully open source alternative to the OpenAI Assistants API. It makes it easy to add an AI assistant to a SaaS product. The assistant answers questions or completes tasks for the user by calling API endpoints in your SaaS product. E.g. a user could ask their CRM assistant “Eve is sick today, move her calls to the rest of the team - prioritise those who’ve had prior contact with the prospect” and the assistant would do this by calling the CRM’s API. Like OpenAI’s recent Assistants API release, it handles threads, chat history, RAG on your docs and API call selection, but without the lock-in to OpenAI & you can self-host. It supports various LLMs: an OS model we fine-tuned (based on Mistral 7B), fine-tuned GPT3.5 & GPT4. We also support Claude 2, Llama 2 and PaLM, but haven’t tested them rigorously. We’re still working on streaming the Mistral model, but have it hosted without for now. You can upload your swagger file (OpenAPI spec) to get up and running. Endpoints can be enabled/disabled and you can evaluate performance in the playground. There’s a React component library for easy integration. You can self-host for free. We're charging for the cloud version. This has faster & easier setup, user permissions, analytics (soon) & support. Give it a spin and let us know what you think!

Visit product View on Hacker NewsNov 13, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, user · Missing: mac, agents, macos

98%98% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, open source, llama · Missing: https docs, excited, just released

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, soon, calls · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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