AI and memory

Persistent memory tools for Claude Desktop. Search your vault or Obsidian notes mid-conversation.

Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.

A Stockfish MCP server to allow an LLM to play chess against Stockfish

聚合55+平台热门榜单数据的AI工具，支持微博、知乎、B站、GitHub等平台。适用于LLM/RAG场景。

Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.

LLM-native optimization solver: LP, MIP, portfolio & scheduling via HiGHS/OR-Tools.

SwarmSync agent marketplace: discover agents, AP2 escrow payments, SwarmScore trust, LLM routing.

SQLite-backed MCP server for persistent memory, full-text retrieval, and graph traversal.

Build searchable AI research knowledge bases with hybrid vector search directly in Claude Desktop.

Hebbian memory for AI agents. Learns file patterns, predicts next tools, saves tokens.

Persistent semantic memory for AI agents with knowledge graphs and Intelligence Packs.

Persistent memory for AI agents. Store context, retrieve it semantically.

Local audio transcription using whisper.cpp. Transcribe with OpenAI Whisper models.

MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.

Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.

Pre-execution cost estimation for LLM agent workflows with calibration learning

An MCP server that provides persistent memory and context management across sessions

AI image generation and editing MCP server. Gemini + OpenAI, iterative editing, undo/redo.

MCP server that reduces LLM context by removing code comments and converting data formats to TOON

Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).

Knowledge Graphs to enable memory persistence, knowledge evolution, explainable interaction.

Add OpenTelemetry tracing to Python AI agents. Supports LangGraph, LlamaIndex, CrewAI, OpenAI SDK.

18 tools: agent memory, API drift detection, and HMAC-signed trust receipts

MCP server for Skim code transformation. Compresses code 60-95% for LLM context optimization.