AI and memory

A private, persistent memory and method for your dreams and ideas. Sign-in required (OAuth).

Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history.

Personal memory outside the AI. Due dates, loose ends and old notes come back on their own.

Memory for AI agents. Ask what is true now, get the facts back with their dated sources.

Shared memory for coding agents and their teams: docs, epics, tasks and decisions over MCP.

Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.

Local code graph and solution memory for coding agents via CLI and MCP.

Personal memory layer: files, notes, messages, tasks and email, semantically indexed.

Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.

Rest stop for AI agents: check in, reflect, check out. Paid cross-project memory recall via x402.

Read your TeamShift team, tasks and memory via OAuth, or use workspace tools with an API key.

Pay-per-call ($0.01 USDC) model-routing for AI coding agents: which LLM to call, cost vs. quality.

Long-term, drift-free cognitive memory engine for AI Agents and Cursor IDE.

AI 與科技名詞白話解釋：MCP、RAG、AI 代理人等名詞的白話定義。台灣繁體中文 MCP 工具。

OpenAI、Claude、Gemini 模型下架日、剩餘天數與官方建議替代，可檢查程式碼裡的模型。每筆附官方來源。

Convert any webpage to clean LLM-ready markdown, extraction-first, with article and news modes.

Long-term memory for AI agents. Pass one sentence, and it remembers, recalls, or forgets.

Sourced, citable definitions of prompting and LLM techniques, with relations and primary sources.

Durable identity and memory for AI agents, anchored on the Emercoin blockchain.

Detect and redact PII and secrets (API keys, tokens) in text, HTML or PDF before it reaches an LLM.

Make AI-drawn video from chat: your LLM draws every frame in code; add narration, music and SFX.

Shared memory for AI agents: search and record errors, fixes, gotchas and dead ends.

Hosted agent memory with record-based verification, conflict detection, correction and deletion.

Repair broken JSON from LLM output and validate it against a JSON Schema.