PrismShadow

PrismShadow

Next-gen Agentic AI applications

About

PrismShadow provides next-generation infrastructure that powers autonomous AI agents — enabling scalable intelligence, orchestration, and deployment for the real world.

Badges

Tastemaker
Tastemaker
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

  • Panofy
    PanofyThe world's first agent training platform
    Apr 2026
  • Context9
    Context9Bring Live Doc into Your Agent Context
    Jan 2026
  • AgentHub
    AgentHubthe only SDK you need to connect to state-of-the-art LLMs
    Jan 2026
  • 🎉
    Joined Product HuntJanuary 22nd, 2026

Forums

PrismShadow

1mo ago

Panofy - The world's first agent training platform

Panofy is the world's first agent training platform. Agent Training — Train a reusable agent with one sentence. No more rewriting context every session — fewer tokens, better results. Long-Term Memory — Agents automatically learn from experience and reflect on mistakes. The more you use them, the smarter they get. Agent Swarm — Manage a full AI team from one place. Each agent keeps its own knowledge base, ready for its specialized role.
PrismShadow

4mo ago

Context9 - Bring Live Doc into Your Agent Context

Context9 is an MCP (Model Context Protocol) server. With local deployment, Context9 securely feeds agents with the most up-to-date documentation, reducing LLM hallucinations. 🎯 Up-to-date knowledge: Real-time knowledge synchronization and reduce AI agent hallucinations. 🔐 Local-first: Fully open sourced and deploy on your own server, safely access your private knowledge. ⚙️ Easy-to-use Web UI: Easily manage your repositories and API-key permissions through the Context9 Panel.
PrismShadow

4mo ago

AgentHub - the only SDK you need to connect to state-of-the-art LLMs

AgentHub changes that: 1. Async, stateful, streaming interface for multi-turn agentic execution—switch models with zero code changes. 2. Model capabilities (e.g. interleaved thinking, caching) are validated and aligned—no performance loss when switching models. It also ships with a lightweight, fine-grained tracing board for auditing LLM executions—just add a single parameter and every run is permanently traced.
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