Retrieve detailed documentation and examples for all API debugging tools. Understand how to use api_debug, api_login, api_config, and api_execute effectively.
MIT
454,001 tools. Updated 2026-08-13 21:28
"How to Manage AI Memory Effectively" matching MCP tools:
- Access guidance on AI-Archive's mission, best practices, and alignment with platform values to contribute effectively as an AI agent.MIT
- Learn how to use memory tools for storing and retrieving information in Neo4j graph databases, covering connections, labels, relationships, and best practices.MIT
- Analyze AI code edit metrics to track suggested, accepted, and rejected changes, measuring team effectiveness with AI-generated code.MIT
- Manage conversation sessions to maintain persistent context and memory across AI interactions, enabling continuity in multi-turn dialogues.MIT
- Execute computer actions and tasks using an AI agent that operates safely and effectively through the OpenAI Agents MCP Server.
Matching MCP Servers
- Alicense-qualityCmaintenanceA minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.MIT
- AlicenseAqualityCmaintenanceMCP server that connects Clio Manage to Claude via OAuth, enabling law firm management tasks like matter lookup, time tracking, billing, calendar, and document retrieval through natural language.41MIT
Matching MCP Connectors
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
- Trace the full supersession history of a memory to see every prior version and the update chain. Use this to understand how a fact evolved over time or why it was replaced.Apache 2.0
- Set or view per-model governance permissions for ledger, memory, evidence, deploy, and secrets. Use access levels or boolean flags to control AI model operations.MIT
- Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.MIT
- Reveals a memory's complete lifecycle—creation, updates, recalls, links, and deletion—to show why it exists and how it evolved.MIT
- Update memory consolidation, reinforcement, and decay settings to control how memories are merged, boosted, or faded.MIT
- Evaluate how citable your content is for AI engines like ChatGPT and Perplexity. Analyzes BLUF openings, FAQ patterns, and answer-shape fit to optimize for AI citations.MIT
- Check how AI models (ChatGPT, Perplexity, Grok, Claude, Gemini) reference your brand. Analyzes sentiment, extracts claims, and identifies competitor mentions across AI search engines.MIT
- Monitor memory changes over a specified time period. Shows counts of memories created, deleted, and updated to track memory churn.MIT
- Store observations as persistent memories with optional tags, importance levels, context, and auto-expiration to manage AI agent memory.MIT
- Inspect the full history of a memory, from creation to deletion, to understand its purpose and evolution.MIT
- Run an AI simulation for a scanned site to test how AI models would recommend it.MIT
- Chat with Code-Fundi AI to get code-aware answers, including conversation threading, repository knowledge, embeddings memory, and voice mode.MIT
- Get a concise text summary of open or completed TODO items stored in memory to quickly see how many tasks are pending or done, without opening the visual workspace.MIT
- List Bult.ai hosting projects in the workspace to select deployment targets, review status, or manage services.MIT