"A server for providing crypto market history data" matching MCP servers:

Search past OpenCode conversation history before starting new work on a module or file, via a local read-only FTS5 index built from OpenCode's own SQLite database. No network calls, fully local. 7 tools for keyword search, file lookup, and session browsing.

Provides a SQLite-backed MCP server that records agent memory as history, enabling explicit consolidation, source checks, revisions, narrative versions, and accountable forgetting.

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.

Enables full-text search and browsing of Claude.ai conversation history by ingesting exported conversations into a local SQLite database with FTS5 indexes.

Enables searching and browsing of Claude conversation history with hybrid search combining full-text, Spotlight, and optional vector embeddings.

Provides local-first, cross-session memory for Claude Code, enabling semantic search across past sessions to retrieve procedures, decisions, or answers without exposing secrets.

Enables Claude to browse, search, and restore clipboard history with type classification, secret detection, and Touch ID-gated decryption.

Enables searching, indexing, and recovering past AI chat sessions and agent actions from local AI coding tools, with optional vector database semantic search and direct filesystem access.

A local MCP server that indexes and searches your Claude Code conversation history with both keyword and semantic search, fully private and running locally.

Enables local, read-only keyword search across past Claude Code, Codex, Gemini CLI, and ChatGPT conversations plus markdown notes, with exact source citations and context retrieval.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Local memory search for Codex and Claude Code conversations. It keeps history on your machine, builds a local graph index, and returns compact evidence from past sessions.

Enables AI coding agents to persistently store and retrieve conversation history with hybrid semantic and keyword search, cross-encoder reranking, session filtering, and archiving through MCP tools.

An MCP server that enables users to retrieve, filter, and search through Claude Code conversation history stored in local projects. It provides tools for listing projects and sessions, paginating through message history, and searching across conversations with keyword filtering.

Config-driven MCP server for cross-domain full-text search across agent session logs, meeting transcripts, and notification files.

Provides MCP tools to search, browse, and retrieve unified read-only history from CLI agents like Codex, Claude Code, and OpenCode, with connector discovery and project-folder grouping.

Enables Claude to full-text search, list, and read your exported ChatGPT and Claude conversations from a local conversations.json file, running locally with read-only file access and no network requests. Supports both official export formats with automatic detection.

A narrative graph engine that enables LLMs to generate, track, and mutate complex fictional worlds while maintaining consistency between factions, characters, and locations. It acts as a specialized RAG framework for storytelling, allowing models to manage thousands of entities without exceeding context limits.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI assistants to search and read ChatGPT conversations using the desktop app's local catalog and on-demand message retrieval. Supports title search, full-text search with snippets, and clean transcript access.

Enables searching local OpenAI Codex conversation history by keywords, project, date, or role, listing sessions, and retrieving exact supporting messages through MCP tools.

Search and reference your Claude Code conversation history directly from Claude, with full-text search, conversation viewing, and project browsing.

Enables semantic search over local AI-agent session logs (e.g., Claude Code, Hermes) using local embeddings, returning relevant chunks without exposing full transcripts.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables Claude Code to search, browse, and read its own past conversation history across all projects using BM25 keyword search.

Provides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Persists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

Provides a single-writer MCP server for a governance-grade knowledge base of markdown documents with version control and query capabilities.