Configures a three-layer AI memory system using a cachly instance. Generates copilot instructions that make AI recall past solutions before tasks and save lessons afterwards.
Apache 2.0
162,764 tools. Last updated 2026-05-30 11:46
"Memory and Database Solutions for AI Systems" matching MCP tools:
- Store AI session summaries in persistent memory to retain key decisions, patterns, and solutions learned during coding sessions.MIT
- Assess the health of the Cursor10x MCP server's memory system and database to ensure optimal performance for AI-assisted memory retention and recall.MIT
- Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.MIT
- Troubleshoot missing memory search results or assess local data footprint by retrieving entry count, size, distinct tags, embedding index status, and last-write timestamp from the local memory database.AGPL 3.0
- Permanently delete a memory by its ID to remove outdated, incorrect, or irrelevant entries from the local database. Action is irreversible and returns success status.MIT
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Cultural color and colour intelligence API. Every colour anchored to a named person, a documented year, and a consequence. 34 archives spanning literary, cultural, pigment, and national traditions. Ask it what color could get you executed in the Ottoman Empire.
Cloudflare Workers MCP server: agent-memory
- List upcoming package changes, deprecations, and enhancements relevant to your systems for upgrade planning and risk mitigation.Apache 2.0
- Execute SELECT SQL queries on Hologres databases using serverless computing resources to handle memory-intensive operations and avoid query memory limitations.Apache 2.0
- Store memory observations with tags, importance, context, and optional auto-expiration. Persist AI agent knowledge with configurable TTL.MIT
- Browse all stored memories from your local SQLite database, ordered newest first. Filter by category or project to audit memory contents and check counts.MIT
- Store or update a JSON value for a memory key with optional TTL, importance, source, and confidence score. Persists AI agent memory across sessions and changes.MIT
- Reinforce or deny a stored memory pattern by confirming when user validates or denying when they contradict it for accurate AI memory persistence.MIT
- Retrieve metadata for community solutions to a specific LeetCode problem, including topic IDs for accessing full solution content.MIT
- Retrieve all systems affected by a given CVE to identify and manage vulnerable endpoints.Apache 2.0
- Assess memory database health using 16 checks. Detect and auto-repair issues like contamination, duplicates, embedding errors, and FTS desync. Returns storage stats.MIT
- Save a pre-computed agent profile to the database. Provide agent ID and profile text to update persistent memory for AI agents.MIT
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.Mozilla Public 2.0
- View, configure, rotate, and monitor database credentials for Heroku apps to ensure secure access and compliance with security policies. Simplify credential management for database connections.Apache 2.0
- Retrieve the JSON schema of all fields in a specified database to provide AI models with the expected data structure for accurate processing and analysis.TypeScriptMIT