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Agent Dingo – a microframework for buildling conversational AI agents

Hacker News

Agent Dingo – a microframework for buildling conversational AI agents

AgentDingo allows you to register the functions to use with ChatGPT. It is possible to convert Langchain Tools into function descriptors in order to register them with Dingo. The intermediate function calling is also handled by the agent directly. Once the functions are registered, you can run the conversation using the chat method of the agent, or serve the agent on a web server (also compatible with the OpenAI API).

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, chatgpt · Missing: mac, macos, cursor
97%97% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Strong signals: chat · Missing: web3, crypto, cryptocurrency
54%54% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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