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M-T-D-N/agentmemory-codex-windows

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AgentMemory for Codex on Windows: persistent project-scoped memory, keyword/graph retrieval, canonical filters, provenance-preserving graph tools, four managed hooks, optional loca

MCP

M-T-D-N/agentmemory-codex-windows

Added 9 Oct 2026

#agent-memory #agentmemory #ai-agents #ai-memory #codex #codex-cli #codex-desktop #coding-agents

Overview

AgentMemory for Codex on Windows provides persistent, project-scoped memory for Codex agents. It supports keyword and graph retrieval, canonical filters, provenance-preserving graph tools, four managed hooks, optional local Qwen graph extraction, and recoverable managed updates. It is an unsigned technical preview with per-release validation results and latency limits.

Best for

Best for
Developers using Codex on Windows who need persistent, project-scoped memory with graph retrieval.

Use cases

  • Persist project-specific context across Codex sessions
  • Retrieve relevant memory via keyword or graph search
  • Extract knowledge graphs locally with optional Qwen

How to use

Tested with

Cursor, Continue, ChatGPT

Notes

AgentMemory for Codex on Windows provides persistent, project-scoped memory for Codex agents. It supports keyword and graph retrieval, canonical filters, provenance-preserving graph tools, four managed hooks, optional local Qwen graph extraction, and recoverable managed updates. It is an unsigned technical preview with per-release validation results and latency limits.

2 stars on GitHub. Last updated 2026-10-08. Licensed Apache-2.0.

Use cases

  • Persist project-specific context across Codex sessions
  • Retrieve relevant memory via keyword or graph search
  • Extract knowledge graphs locally with optional Qwen

Pros

  • Persistent project-scoped memory keeps context isolated per project
  • Provenance-preserving graph tools maintain traceability
  • Recoverable managed updates reduce risk during upgrades

Cons

  • Unsigned technical preview, not production-ready
  • Limited to Windows and Codex environment
  • Latency limits documented per release may constrain large graphs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Persistent project-scoped memory keeps context isolated per project
  • Provenance-preserving graph tools maintain traceability
  • Recoverable managed updates reduce risk during upgrades

Cons

  • Unsigned technical preview, not production-ready
  • Limited to Windows and Codex environment
  • Latency limits documented per release may constrain large graphs
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