How to Tame the AI Agent Zoo with Nasiko
Tired of managing scattered AI agents? Nasiko provides a unified control-plane with routing, security, and observability for multi-agent systems.
Language
HomeLanguages
Sections
Tired of managing scattered AI agents? Nasiko provides a unified control-plane with routing, security, and observability for multi-agent systems.
How Memora gives Claude Code assistants long-term memory and a knowledge graph through MCP, turning scattered notes into a structured knowledge base.
A Node.js library that extracts structured JSON from messy PDFs and scans using AI, supporting both cloud and local vision models.
QwenPaw combines local AI execution, messenger integration, long-term memory, and a web IDE in one tool. Here's how to set it up in minutes.
LitGPT from Lightning AI rewrites 20+ popular LLM architectures in pure PyTorch, offering fine-tuning, deployment, and benchmarking without heavy framework overhead.
Stop writing adapters for every AI model. LLM Gateway unifies API calls to OpenAI, Anthropic, Vertex AI and more through a single OpenAI-compatible interface with built-in cost tracking.
Outlines library guides text generation at the token level, guaranteeing valid JSON output without retries or regex fixes. Supports Pydantic schemas, regex, and multiple inference backends.
Building multi-agent AI systems doesn't have to be a nightmare. Neuro SAN Studio offers declarative configs and a visual editor to orchestrate LLM agents without endless Python code.
GraphRAG builds knowledge graphs from unstructured data, enabling LLMs to understand connections and answer global questions across massive archives.
org-ai is an Emacs extension that integrates AI models directly into your workflow, enabling code generation, image creation, voice input, and project analysis without leaving your editor.