reflexion

🧠 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

Reflection/judge layer for OpenCode & Claude Code — catches premature stops, enforces workflow gates (tests, CI, PRs). 78% of agent stops are premature.

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.

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

Autonomous scientific discovery engine - 82 discovery modules, 16-phase pipeline with refinement and reflexion. GFlowNet hypothesis tournaments, adversarial skeptic review, multi-agent debate, causal reasoning, knowledge graphs, 17 domain ontologies. Terminal-native.

LLM Knowledge Management • Wiki-grounded verification • RFC-based documentation • Best practices automation • AI-native engineering

Loop 工程学习手册：让 AI Agent 自己跑起来。系统梳理 ReAct、Reflexion 到 Claude Code /loop 的演进与工程实践。

AI agent workflows for cross-functional teams. Tech Leads, PMs, and HR can run RTK skills via IDE or Web App.

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.

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

AI Task Orchestrator • Parallel execution • TDD/PDCA/Reflexion loops • Methodology-grounded • Test quality audit • Merge gate verification

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.

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

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

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.

Jeu liant les MATHS et PYTHON

🥈 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.