BrainCTL
Persistent memory for AI agents. Single SQLite file, 192 MCP tools. FTS5 search, knowledge graph, session handoffs, write gate. No server, no API keys, no LLM…
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Persistent memory for AI agents. Single SQLite file, 192 MCP tools. FTS5 search, knowledge graph, session handoffs, write gate. No server, no API keys, no LLM…
Structural AI Search Readiness MCP. Audit, dry-run fixes, rescore, doctor. No LLM rankings.
Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval…
Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and…
A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while…
Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval with support for various content types and…
Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified…
Enables AI assistants to interact with web browsers through a FastAPI server for web browsing, content extraction, and automation tasks with configurable LLM…
Integrates LLM applications with documentation sources using the Model Context Protocol.
BM25 search + tree navigation over markdown docs for AI agents. No embeddings, no LLM calls at index time.
Persistent visual cache for LLM-driven software development. Caches screenshots using perceptual hashing, vector search, and AX trees to prevent token overhead…
Provides Go language updates and best practices in a structured Markdown format for LLM coding agents.
Access technical documentation for libraries and frameworks, formatted in clean markdown for LLM consumption.
Airtight math for AI agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean 4 kernel checks. No LLM inside, no API key.
Access WordPress development rules and best practices from the WordPress LLM Rules repository.
A framework for developing LLM applications with capabilities like tool usage, planning, and memory, based on the Qwen model.
Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 16 tools. Zero LLM dependency.
A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.
Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors
Manage user feedback, roadmap, changelog and user surveys all from your favorite LLM
Access WordPress development rules and best practices from the WordPress LLM Rules repository. It dynamically creates tools for each rule and caches content…
Persistent cross-agent semantic memory for AI agents. Recall past sessions, share knowledge across agents. Multi-agent (isolated writes, shared reads)…
A vendor-agnostic cognitive persistence layer for AI agents. Eliminate the "repetition tax" by transporting your context, preferences, and history across…
# Documentation MCP Server with Python SDK ## Prerequisites - `uv` package manager, (optional but **highly recommended**) - claude desktop or cursor (…