"Information about MCP Codex Keeper" matching MCP servers:

Multi-agent shared brain MCP server enabling cross-session memory, self-improving skill loops, and inter-agent signaling across Claude, Codex, Gemini, Copilot, and VS Code CLI agents.

Durable project-memory MCP: decisions, constraints, and pipelines across Claude sessions

Enables Alexa+ to retain and recall a lightweight per-user context thread across separate voice interactions, supporting starting, querying, and listing active contexts for continuity.

Provides persistent context management for Claude AI coding assistants, allowing you to save and restore conversation context, create checkpoints, and organize information across sessions to prevent losing important work history and decisions during long coding sessions.

MCP server providing context usage estimation, conversation compaction, and durable semantic memory via local embeddings and SQLite.

Remote MCP server that exposes context-keeper's rationale store (decisions, pipelines, constraints) over Streamable HTTP, deployable on Cloudflare Workers and usable as a claude.ai custom connector.

Enables Codex to use a local EverOS instance as long-term memory through MCP. Supports memory operations like search, get, save, and flush with automatic project ID inference.

Local Markdown-backed memory tools for Codex and other MCP-capable agents. Exposes durable agent knowledge via CLI and MCP server.

Enables lossless context management for OpenAI Codex CLI by capturing and compressing conversation history in SQLite, with lexical recall via MCP tools.

Provides curated long-term memory for Codex CLI via MCP, with Markdown-based storage, deduplication, and decay-based forgetting.

MCP server that integrates OpenAI Codex with Open Knowledge Format (OKF), enabling knowledge bundle validation, capture, diffing, and workflow automation through natural language.

A tiny MCP server that wraps Perseus Vault to provide persistent, encrypted, local-first memory for OpenAI Codex agents, enabling them to remember project conventions, decisions, and context across sessions.

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

Local-first, read-only Codex session aggregator that indexes multiple CODEX_HOME directories into a SQLite database and provides MCP tools for cross-project, archival, and sub-agent history queries.

Provides local cross-session memory for Codex by importing transcripts, indexing in SQLite, and exposing search, context, and memory management through MCP tools.

Portable, auditable, local-first MCP memory for MCP-compatible AI agents and coding workflows. It keeps durable project memory outside the model runtime, compresses continuity into smaller working packs, and carries forward operational state so agents can resume with less repetition.

MCP server providing durable Substrate organizational memory tools, including search, read, query, ingest, remember, and sync. It integrates with Codex to automatically capture completed turns and session boundaries for persistent memory.

Provides an isolated MCP bridge giving Codex Hermes-style long-term memory, checkpoints, and optional tools, while keeping Hermes and Codex data read-only and requiring human approval for skill proposals.

Enables selecting exact conversation excerpts, carrying forward only confirmed background and provenance, and handing the packaged selection to another agent for continuation.

A local-first MCP server that gives AI coding agents durable project memory, dependency graphs, and impact analysis to answer team knowledge and cross-file change questions before editing.