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vishnu-77/openreflex

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Muscle memory for AI coding agents: learns from every task, advises the next one, flags failure loops live. Claude Code, Codex, Cursor, OpenCode.

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vishnu-77/openreflex

Added 16 Sept 2026

#agent-memory#ai-agents#claude-code#codex#coding-agents#cursor#developer-tools#mcp
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

OpenReflex is a Python-based developer tool that gives AI coding agents muscle memory. It learns from every task, advises the next one, and flags failure loops live. It supports Claude Code, Codex, Cursor, and OpenCode.

Best for

Best for
Developers using Claude Code, Codex, Cursor, or OpenCode who want task memory and failure-loop warnings.

Use cases

  • Track recurring patterns across coding tasks
  • Get live warnings when an agent enters a failure loop
  • Advise next steps based on prior task history

How to use

Install

pip install -e ".[dev]"

Tools exposed

  • get_execution_context
  • check_progress
  • choose_path
  • record_outcome
  • explain_decision
  • get_execution_trace
  • get_reflex_score
  • search_experience
  • explain_node
  • get_project_insights
  • approve_project
  • forget_experience

Clients listed in this record (not verified here)

Claude Code, Cursor, Continue

Notes

2 stars on GitHub. Last updated 2026-09-16. Licensed MIT.

Pros

  • Learns from task history to improve future suggestions
  • Live failure-loop detection
  • Works across multiple coding agents

Cons

  • Very early stage with only 2 GitHub stars
  • Python-only, requiring a Python environment
  • Limited evidence of active maintenance or community
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