Petit jeu de réflexion

Self-improving LLM agent in TypeScript using Reflexion (verbal RL): custom evaluators, reflexion memory, HTTP API, CLI. Built with Vercel AI SDK.

🧠 Community skill for Claude Code & Codex that helps your agent learn from its mistakes. /aprende reviews the conversation, surfaces durable learnings (memories, Reflexion-style anti-patterns, skill stubs, project-docs), and writes them only after you confirm. Bilingual (EN/ES). Made by tododeia.

Petit jeu de réflexion... pour la Playdate

Code Base for Multi-Tool Usage for black box api access

Customer Driven Project (TDT4290) The project is a collaboration between NTNU and KartAI. Showcasing use of AI for streamlining building case process

Self-correction engine for AI coding agents - implements the Reflexion paper (Shinn et al., 2023) as a Rust MCP server. Turns failures into persistent, searchable lessons that prevent the same mistakes across sessions.

This project aims at getting an analog signal from a water meter and use it for a house automatization system to control the water consumption.

Reflexive Simulation Framework for Purple Team Cognitive Architecture and Escalating Learning Behavior

Vision-grounded RAG agent for financial documents, built on a self-finetuned ColPali and LangGraph.

AI coding assistant skill for automated multi-file development. PIR methodology: Plan-Iterate-Resolve with filesystem memory, self-reflection, and advisory state machine. Supports Claude Code & Cursor.

Jeu liant les MATHS et PYTHON

Blokus est un jeu multijoueur en 2D dont le but est d'encadrer plus de point que ses adversaires.

A Java Swing app that eases the pain of creating XML objects and files by hand

Reflexion agent with LangGraph — GPT-4.1 Nano self-critiques answers, generates Tavily search queries, revises with citations through up to 4 iterative improvement loops

Multi-agent orchestration with self-evolution, cognitive memory, and governance.

Multi-tool AI orchestration that researches its own success criteria before acting, validates them after, and earns autonomy from track record. Orthogonal to single-agent frameworks.

Los secretos más profundos se encuentran en el fondo de nuestros corazones.

GPT Flow: Simplifying tasks with human-like AI, inspired by autogpt.

🥈 2nd place (Agent-only) MLSys 2026 Track B — Multi-Agent LLM Pipeline for Memory-Constrained Tensor DAG Scheduling. Neurosymbolic split: LLM for combinatorial structure (op fusion), deterministic solver for constraints ([w,h,k], dependency, latency). 7.77× aggregate speedup, 88× best case.