Perdure Agent Memory

Reddit r/AI_Agents 09/18/26, 03:31 PM Tools

Summary

The article describes an experiment with Perdure, a tool that records AI agent decisions as markdown files for seamless integration and handoff between agents, featuring validation and linting.

I've experimented with Perdure in the past 2 days and it's very promising. Basically treats decisions as first class memories rather than the dump of conversations. The decisions get recorded as markdown files and can be committed with the code. The next agent just picks them up. It has linter and validation. Also handoff generation as a markdown file. Link in the comments per the rules.

Original Article

Similar Articles

A Portable File Format for Agent Memory (9 minute read)

TLDR AI

The article introduces 'memoryfields', a portable file format for AI agent memory that uses Markdown files and optional SQLite indexes, advocating for a simpler, data-driven approach over existing complex systems.

I thought markdown memory would be enough for agents. It turned into prompt debt.

Reddit r/openclaw

The author reflects on the limitations of using flat markdown files for long-term agent memory, which leads to prompt debt as the memory grows, and advocates for graph-based memory representations that retrieve relevant context dynamically.

The "AI agent forgets everything" problem, and a plain-text fix I've been building

Reddit r/ArtificialInteligence

SAIPEN is a plain-text protocol using markdown files to solve the problem of AI agents forgetting context between sessions, allowing any file-reading AI to continue work seamlessly.

rohitg00/agentmemory

GitHub Trending (daily)

agentmemory is an open-source persistent memory layer for AI coding agents (Claude Code, Cursor, Gemini CLI, Codex CLI, etc.) that uses knowledge graphs, confidence scoring, and hybrid search to give agents long-term memory across sessions via MCP, hooks, or REST API. Built on the iii engine, it requires no external databases and exposes 51 MCP tools.

I built my AI agents a local long-term memory. 4 months of daily use, one shipped app

Reddit r/AI_Agents

An individual built a local long-term memory system for AI agents using markdown files and a local index, enabling persistent memory across sessions and including tests for false memories, with plans to potentially productize it.