Restore a saved profiling session from disk to memory for querying with profiler-cpu-query, profiler-commit-query, or profiler-stack-query, or list available sessions.
Apache 2.0
304,869 tools. Last updated 2026-07-21 19:56
"A system like ChatGPT with memory to provide past query context in conversations" matching MCP tools:
- Add new observations to an existing entity in a knowledge graph memory. Append facts like 'Lives in Seattle' to a person or project, with optional context and location settings.MIT
- Save complete conversations as searchable memories with automatic context extraction and project tracking. Updates existing memories or creates new ones.MIT
- Construct a formatted memory block for system prompts. Selects relevant memories by semantic query or top memories by frequency, truncates to fit token budget, and returns a single string in markdown, XML, JSON, or plain text.MIT
- View version history for stored data to debug past states, audit changes, or recover previous values in the Memstate AI memory system.Apache 2.0
- Search conversation memory by meaning to recall prior context across sessions, such as past decisions or agreements.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceImports private ChatGPT conversations into MCP clients like Codex and Claude Code. Provides tools to fetch remote conversation content and serve cached context via local stdio.Last updated41MIT
- Alicense-qualityCmaintenancePrivate tooling to stage ChatGPT conversations into reviewable Homebase markdown and Notion drafts with redaction and classification.Last updatedMIT
Matching MCP Connectors
An interactive portfolio built for AI conversations. Browse work, services, and book calls.
Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
- Search long-term memory to retrieve past user preferences, project decisions, or earlier context. Returns relevant matches ranked by semantic similarity.MIT
- Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.MIT
- Execute SELECT SQL queries on Hologres databases using serverless computing resources to handle memory-intensive operations and avoid query memory limitations.Apache 2.0
- Assembles a complete system prompt with database schema, object classes, properties, codelists, spatial context, and optional SQL examples and query guidelines.Apache 2.0
- Retrieve all saved sessions with names, entry counts, and timestamps to discover context from previous conversations.Business Source 1.1
- Create a shared memory room for collaborative context that your AI assistants and others' assistants can read and write to across Claude, ChatGPT, and Cursor.MIT
- Discover all users and agents with stored memories and their memory counts to identify system participants before conducting searches.MIT
- Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.MIT
- Creates a MULTIPLAYER_GUIDE.md file with API rate limits, player ID rules, and data structures to maintain context across conversations for multiplayer game projects.MIT
- Find conversations related to your query across all AI platforms, automatically grouped by semantic similarity.MIT
- Get relevant context about a topic from past sessions to guide current conversations.Business Source 1.1
- Search and retrieve relevant memories from Mnemexa to answer questions about user preferences, past decisions, project context, and prior conversations.ISC
- Store memory observations with optional tags, importance ratings, context, and automatic expiration to manage and organize information effectively.MIT
- Find past experiences that match your current task by searching episodic memory with vector similarity.MIT