High-speed shared semantic & hybrid memory layer for AI agents — MCP server, CLI, and Python library

Local, consented speaker attribution for AI assistants. An MCP server that answers who is speaking - with a voiceprint per language, and a match threshold you calibrate on your own voices. Voiceprints never leave your machine.

The Open Context Layer for Data Agents

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

Universal Context layer McP server

A read-only MCP server for SQL databases with a semantic layer in an open format (Apache Ossie), metrics, your own context and skills — for any database and any MCP client.

The open-source context layer for AI agents and enterprise AI search. Permission-aware search and cited answers across 30+ sources, including Slack, Drive, Jira, GitHub and Microsoft 365, for people and agents through MCP, SDKs and built-in agents. Self-hosted or Cloud.

Layered, self-learning knowledge base for teams, served over the Model Context Protocol. PostgreSQL + pgvector hybrid search, roles, audit log, YAML layer presets.

Verified context for AI coding agents. A local context layer that intelligently compresses, filters, indexes, and verifies AI coding-agent tool output. 32 MCP tools across 10 layers: code intelligence (tree-sitter, 30+ languages), context selection, tool

Unified context layer connecting local data to LLMs via MCP

Private context layer MCP for AI agents.

OpenClueo MCP Server - AI Personality Layer for Model Context Protocol

Context synchronization layer for AI coding agents — ensure project continuity and eliminate memory drift automatically.

Integration layer between Model Context Protocol and Gentoro's MCP Server implementation

Read-only MCP endpoint for the Context Stack: discover the framework, route a problem to the right layer, and read canonical sources.

Context layer for coding agents: open-source, free, extremely fast.

Vidurai — Local-First AI Memory Layer for LLMs. Give Claude, ChatGPT, and Copilot persistent context without cloud sync.

Memory and brand-context layer for AI agent systems. Multi-tenant MCP server — 39 tools auto-generated from a live OpenAPI spec. PostgreSQL, per-workspace isolation, scored eval harness.

The Private Context Layer & Super Brain for Your Codebase. Give AI agents persistent memory, deep dependency graphs, and instant code context

Local, private context layer for AI coding agents. Indexes your repo (code, symbols, call graph, docs) and serves relevant context over MCP.

Your portable context layer for Claude & ChatGPT

Wake Intelligence: 5-Layer Temporal Intelligence for AI Agents A production-ready Model Context Protocol (MCP) server implementing a temporal intelligence "brain" with five layers: Past (causality tracking), Present (memory management), Future (predictive pre-fetching), Adaptive (meta-learning — per-project weight tuning), and Personality (tempora

Cross-project memory layer for AI coding agents — MCP server that maintains context, decisions, and knowledge across workspaces

Universal persistent memory layer and context manager for AI agents, Claude, Cursor, and LLMs via Model Context Protocol (MCP)

Git-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn. Files-first, no server required; MCP as an optional serving layer.

AI-powered OpenLayers map control via Model Context Protocol (MCP). 30+ tools for view, layer, feature, overlay, interaction, style, and draw operations.

The machine verifiable rights layer built for AI agents. Powered by Arbitrum, Model Context Protocol, and Supabase.

MCP (Model Context Protocol) layer for sktime - Registry-Driven for LLMs

🧠 Repo-aware memory layer for coding agents. Capture sessions, share context across Claude/Codex/OpenHands via MCP. Stop repeating mistakes.

An MCP (Model Context Protocol) layer that exposes sktime’s native registry and semantics to an LLM

High-performance Model Context Protocol (MCP) server gateway for Claude Pro. Seamlessly bridges Claude Web UI with local environments, file systems, and secure execution layers.

Portable, privacy-first AI context layer & MCP server. Classifies personal data on-device via fine-tuned Gemma 3 & WebGPU, keeping private data offline.

Context-aware testing layer for Playwright MCP — scans your codebase, generates precise test plans, and produces CTO-level reports. Works with Claude Code and Cursor.

MCP server version of the AI ROI Calculator — evaluates ROI of AI/LLM implementations using a 3-layer cost framework via Model Context Protocol

Hands-on MCP (Model Context Protocol) server built with FastMCP — a simulated IoT sensor fleet demonstrating tools, resources, prompts, elicitation, and sampling in a layered, testable architecture.

Local-first shared memory layer for AI coding agents across MCP clients, Git history, reasoning context, and project sessions.

地理数据源MCP A Model Context Protocol (MCP) server providing access to many verified global GIS spatial services, layers, and open geospatial data sources.

🛡️ Rust CLI extension for Claude Code — LLM-powered command validation, SQLite context persistence & MCP tools. Two-layer safety (rules + Ollama), vector semantic search, and user-adaptive learning.

Open-source context engineering scanner for Claude Code. Scores 45 check layers across CLAUDE.md, skills, hooks, memory, and planning artifacts. Free local tools + paid upgrades via MemoryOS.

XLUXX Trust Layer MCP Server — 16 tools for runtime trust scoring of 15,000+ MCP servers, Resonance Engine analysis, and Context Gate integrity checks. Installable in Claude Desktop, Cursor, and any MCP-compatible host.

Open-source context engineering scanner for Claude Code. Scores 45 check layers across CLAUDE.md, skills, hooks, memory, and planning artifacts. Free local tools + paid upgrades via MemoryOS.

A native Arabic intelligence layer and MCP server providing dialect normalization, Sharia compliance auditing, and cultural context for AI systems.

Explore local Figma .fig files, inspect layers and design tokens, and share precise context with AI agents through MCP.

Cairn core — state + context layer. Curated `.cairn/ground/` (decisions, §INV invariants, canonical-map, brand, quality-grades), MCP server, init wizard, hook runners, sensors, GC drift sweep.

Agent-facing MCP query layer over najaeda: navigate elaborated SystemVerilog and VHDL designs without loading source into context.

Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context

JARVIS is an intelligent layer that gives agents access to their code, knowledge, context, memory, tools, and runtime — starting locally on your machine, with the ability to extend into the cloud.

Local-inference layer for coding agents: your files are read by llama.cpp on your machine, not by your agent's context. MCP, rootless Podman, no egress, cited answers, measured.

Git-native reasoning layer for software projects. Track the why behind code with plans, decisions, constraints, and AI-readable project context.

Model Context Protocol (MCP) server for spec-driven development: read-only spec inventory, knowledge-layer checks, and cross-service contract lookup for Claude, Cursor, VS Code and any MCP client.

Local-first memory layer for AI agents. Compresses context with a local LLM, indexes it with hybrid search, and serves it over MCP.

Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.

The Local-First AI Memory Layer. Bridges VS Code, Terminal, and any MCP-compliant AI. Features Strategic Forgetting (SF-V2) for infinite context without the cloud.

Shared context and memory coordination layer for swarms of parallel AI agents. Documented HTTP + WebSocket protocol, interoperable Python and Node CLIs, BM25 keyword memory search, built-in MCP server for agent tool calls.

Local-first Model Context Protocol (MCP) memory layer for Codex CLI/Desktop, Claude Code, Gemini CLI, Qwen/DeepSeek/Ollama and agent workflows. SQLite + FTS5 compact context packs, token savings, read-only mode, no external memory server.

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 24 parsers (incl. EPUB, DOCX, ODT, MIDI, audio), FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free.

Open-source memory layer for AI agents. One memory of each customer across every channel, agent and vendor: identity resolution, facts with evidence, context in 11 ms, MCP. A self-hostable alternative to Mem0.

The runtime security layer for AI agent commerce. Drop-in CLI + MCP server — blocks hallucinated purchases and keeps card credentials out of agent context. it only takes 0.1% of Hallucination to drain 100% of your wallet.

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with calibrated confidence. For Claude Code, Codex, Cursor.