Learn how to use AiChat tools effectively with a complete guide covering parameters, examples, and best practices.
MIT
619,939 tools. Updated 2026-09-28 21:18
"How to Manage AI Memory Effectively" matching MCP tools:
- 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
- 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
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceA minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.MIT
- AlicenseBqualityDmaintenanceAn AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.51Apache 2.0
Matching MCP Connectors
- Kagura Memory CloudOAuth
Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
- memoryOAuth
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
- Execute computer actions and tasks using an AI agent that operates safely and effectively through the OpenAI Agents MCP Server.-
- Set or view per-model governance permissions controlling AI model access to ledger, memory, evidence, deploy, and secrets.MIT
- Load, initialize, or query delimit.yml to manage project AI configuration. Use init to create config with governance mode and policy preset; use model to find task-specific settings.MIT
- Analyze your domain's citation frequency across AI platforms for up to 10 keywords. See where AI models reference your site to improve visibility.MIT
- Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.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
- Find how to book Ritwik Joshi for keynotes, workshops, or AI consultation. Get process, formats, geographies, contact details, and Calendly link.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
- Check memory-bank vital signs: occupancy vs capacity, hit rates, true-drop count, and totals. Diagnose why retrieval feels off by gauging how much has been remembered.Apache 2.0
- Retrieve the version history of a memory to see how it changed over time, including supersessions. Use this to find what a fact used to be.MIT
- List Bult.ai hosting projects in the workspace to select deployment targets, review status, or manage services.MIT