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nerdai solutions inc.
- Toronto
- https://masfromscratch.com
- @_nerdai_
- in/nerdai
- @nerdai.bsky.social
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A companion developer tool for driving supervised task execution in llm-agents-from-scratch, one step at a time.
💫 Toolkit to help you get started with Spec-Driven Development
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
Specification and documentation for Agent Skills
AI agents running research on single-GPU nanochat training automatically
A curated list of papers and resources based on the survey "Agentic Reasoning for Large Language Models"
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
The absolute trainer to light up AI agents.
Open-source MCP to use Blender with any LLM
🚀 The fast, Pythonic way to build MCP servers and clients.
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺
D2 is a modern diagram scripting language that turns text to diagrams.
Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
✨✨A curated list of latest advances on Large Foundation Models with Federated Learning
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Incremental engine for long horizon agents 🌟 Star if you like it!
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
Get your documents ready for gen AI
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning