Send a prompt to any AI chat model on avots.ai and receive a response. Delegate sub-tasks or get alternative perspectives from models like GPT, DeepSeek, and more.
MIT
306,640 tools. Last updated 2026-07-25 17:25
"How to improve memory or retention like GPT models" matching MCP tools:
- Retrieve a comprehensive list of supported AI models from the AiChat API, organized by provider including GPT-4/5, DeepSeek, Grok, and GLM models.MIT
- Send a question to a wide range of AI models (GPT, DeepSeek, Grok, GLM) and get the generated answer. Supports continuing existing conversations for context-aware responses.MIT
- Send one question to GPT, Gemini, Grok, and OpenRouter models in parallel to collect independent second opinions.MIT
- Send a task to Codex CLI to run non-interactively with OpenAI models, bypassing Claude quota limits.MIT
- Check remaining model quota for Antigravity's Gemini and Claude+GPT pools to avoid delegation failures or decide which model family has available capacity.MIT
Matching MCP Servers
- Alicense-qualityAmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.Last updated741MIT
- Alicense-qualityBmaintenanceCaptures user corrections and improvements during interactions, logs them, finds recurring patterns, and prescribes preventive fixes like CLAUDE.md rules, skills, scripts, or MCP tools to avoid repeating mistakes.Last updated5MIT
Matching MCP Connectors
Persistent long-term memory for AI agents: semantic search, knowledge graph, and task canvas.
Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.
- Monitor memory retention status or archive expired memories using exponential decay scoring based on importance, age, and access patterns.Apache 2.0
- Generate images from text prompts using 30+ AI models including DALL-E, GPT Image, and Stable Diffusion. No API keys needed.MIT
- Assess memory retention quality by returning average retention, distribution buckets, trend direction, and a recommendation for improvement.AGPL 3.0
- View your prompt scoring history, average score, grade distribution, and creative DNA patterns to find how to improve your AI prompts.MIT
- Count tokens in text across multiple LLM models to check context window usage and compare costs before sending to an LLM.MIT
- Edit images using inpainting with OpenAI GPT models. Apply edits to transparent areas of a mask while preserving faces and logos with adjustable fidelity.MIT
- List all available chat completion models including GPT-4, GPT-4o, GPT-5, and o-series models. View model names and descriptions in a table.MIT
- Retrieve search queries used by AI models to answer prompts, revealing how they research topics.MIT
- Estimate token count and USD cost for text or messages without an API call. Supports Claude, GPT, and Gemini models for accurate cost projections.MIT
- Automatically free GPU VRAM by offloading largest models to CPU until target free memory is reached. Specify target_free_mb or use auto mode.MIT
- Send prompts to Claude or GPT-4 AI models using Solana USDC payments from your wallet. Process AI inference tasks with automated cost deduction.MIT
- Send a message to 200+ AI models including GPT-4o, Claude, and Gemini. Pay $0.005 USDC per request via the Spraay x402 Gateway.MIT
- Analyze brand visibility across multiple AI models (Claude, GPT-4o, Gemini, Perplexity, Grok, DeepSeek). Return scores, sentiment, competitor comparison, and recommendations.MIT
- Generate an image from a text prompt with OpenAI GPT models. Choose from multiple model versions for speed, cost, or resolution up to 4K.MIT