Store new information in short-term memory with temporal decay, where frequently accessed content gets promoted to long-term storage automatically.
AGPL 3.0
127,516 tools. Last updated 2026-05-05 19:57
"Understanding Temporal Memory in Neuroscience and AI" matching MCP tools:
- Identify knowledge gaps in memory stores by detecting isolated entities, sparse domains, temporal drift, and low-heat topic clusters to improve information coverage.
- Analyze temporal patterns and trends in memory data to identify metrics, generate predictions, and uncover insights about memory behavior over time.MIT
- View your AI memory network statistics including categorized memories, active sessions, saved notes, and insights to monitor utilization.MIT
- Compare memory state changes between two timestamps to identify additions, removals, and modifications in your AI agent's persistent memory.MIT
- Initialize a local memory store for AI agents by creating a .rememb/ folder in your project directory. This setup enables persistent, sectioned memory with semantic search capabilities.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceProvides AI assistants with rich temporal intelligence including timezone conversions, 9 cultural calendars (Hebrew, Islamic, Chinese, etc.), astronomical events, Islamic prayer times, and context-aware activity appropriateness recommendations.Last updated348MIT
- Alicense-qualityCmaintenanceTurn editor chat history (Cursor/Claude Code/Windsurf/Copilot/Codex CLI) into typed Markdown memories + AGENTS.md + Cursor Rules via MCP. Local-first, git-trackable.Last updated8274
Matching MCP Connectors
Calendar MCP server with atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression for AI agents.
AI memory with 56 tools. Knowledge Graph, semantic search, OAuth 2.1 + Magic Link. Free tier.
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.MIT
- Retrieve accessible context spaces for AI agents, including owned and shared spaces with memory counts, to manage persistent memory storage.MIT
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Monitors OpenSIPS shared-memory and per-process package-memory usage to detect out-of-memory errors and module leaks. Tracks shm for cross-process state and pkg for private memory, preventing silent call failures.
- Retrieve all LCR rules and gateways currently loaded in memory to verify active routing policies.
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Store memory observations with tags, importance scores, and expiration settings to organize and retrieve information in the Novyx MCP server.MIT
- Generate an AI-powered summary of a contact by providing their contact ID, enabling quick understanding of contact details without manual review.MIT
- Store data entries with custom tags and persistence options in a security-enforced memory bank for AI agents.
- Search bioRxiv for recent academic papers by research category. Filter papers from the last 30 days using discipline keywords like 'bioinformatics' or 'neuroscience' to find relevant preprints.
- Populate associative memory graphs by retroactively linking existing project entries via temporal chaining, keyword overlap, and provenance. Run once after v6.0 upgrade to connect historical sessions.Business Source 1.1
- Execute source code in a sandboxed environment supporting 71 programming languages. Returns stdout, stderr, execution time, and memory usage. CPU and memory limits ensure safe execution.
- Update text content in an agent's archival memory store. Use this tool to modify existing memory passages by providing the agent ID, memory ID, and new text content.
- Analyze data patterns and relationships around specific coordinates for validation, error investigation, and contextual understanding in CSV datasets.Apache 2.0