"Connecting OpenAI Codex with antigravity concepts or technology" matching MCP servers:

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables semantic search, code exemplar lookup, knowledge-graph statistics, and cached retrieval over locally ingested notebook and Markdown content through MCP.

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.

Enables querying the Purupuru universe codex programmatically, including characters, locations, Jani variants, and Wuxing elements, with anti-hallucination validation and fuzzy search.

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

Enables intelligent ingestion and querying of PDF, Markdown, and text files using hybrid search that combines keyword matching and semantic embeddings with citations.

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.

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.

A project state control plane for multiple AI agent sessions to share structured conclusions such as tasks, checkpoints, code maps, decisions, and handoffs. It enables agents to read and write persistent project state via MCP tools while humans track progress through a lightweight panel.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

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.