Browse all 22,308 AI agents

How It Works

Local-first persistent memory for AI agents — store, recall, and consolidate knowledge across sessions using FAISS, SQLite, and any LLM. MCP server for coding agents and any MCP client.

Consort keeps AI-written code clean and correct: a coordinated ensemble of role agents, spec-first and test-driven, driven by a deterministic state machine against live branches of a real Lakebase dat

Most AI agents forget you the moment the tab closes. Constellation Engine gives them a hippocampus — a living star map with spreading activation, Hebbian writeback, episodic recall, and post-turn cons

A governance framework that establishes memory as a first-class system component with explicit policies, tiered credential management, lifecycle controls, and full observability

API-first multi-agent coding assistant with CodeAct tool calling and first-class terminal support.

Automatically process Construction Blueprints into structured Google Sheets entries with VLM extraction

Tell your problem in a chat and AI instantly finds a tool/solution to solve it

Display important information and contact details

The open-source, self-hostable, agent-native sandbox. Bring your own agent (Cursor, Claude Code, OpenCode); we run the box.

Manage containers on docker, podman, compose, and docker swarm through an MCP Server for Agentic AI

A CLI agent that runs a six-phase knowledge cycle (AKC) over its own logs — every promotion passes through a human approval gate. Runs entirely on a local 9B model. Security by absence — dangerous cap

Our cyber resiliency solution offers peace of mind by integrating asset management, risk mitigation, and cost containment. Stay ahead of threats while optimizing resources and bolstering financial res

Leverage the power of AI's predictive intelligence to drive automation, enable seamless scalability, optimize costs, and enhance operational efficiency

Monitor and measure employee engagement with portal, mobile app, and campaign content.

With OpenText Content Aviator for Agentforce, turn enterprise content into insights and actions. Summarize documents, deliver AI-driven answers, and update Salesforce records instantly — boosting prod

Deliver targeted content and campaigns to keep employees informed and engaged.

==🔥 Upgrade to V4==

AI Powered Blog Automation Workflow for WordPress and Twitter - v4 Revolution

Accelerate marketing content creation with an AI-powered multi-agent system using Microsoft Foundry.

Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This stra

UPDATE

Content pack is used by Now Assist to diagnose Service Graph Connector (SGC) issues and recommend appropriate SGCs

Content Reseracher Writer Using CrewAI

This n8n template empowers you to instantly summarize long pieces of text by sending a simple webhook request. By integrating with ApyHub's summarization API, you can distil complex articles, reports,

Engineering UGC — AI-powered user-generated content at scale

A Multi-Agent Trading System Based on Internal Contest Mechanism

Contexer captures architecture decisions, constraints, conventions, and patterns from AI coding sessions. Replays them in next session so you don't have to explain it again. It works across multiple

Context-Aware RAG library for Knowledge Graph ingestion and retrieval functions.

awesome-lists now available as CLI & MCP server for your agent.

Stop re-explaining yourself to Agents. Give it the right context, right when it needs it.

Context compiler for TypeScript/JavaScript AI agents. Automatically compiles agent state into optimized LLM payloads with history compression, tool pruning, multi-provider support, and more.

Auditable context capsules for LLM handoffs, coding agents, and OpenCode MCP workflows.

Cursor uses AI to edit code — we use AI to edit AI's context. 🪆 Context map + compression + version control for LLM context windows.

Context-Engine MCP - Agentic Context Compression Suite

[WIP] Context engineering: the art and science of shaping context-aware AI systems

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for th

Automate and accelerate complex projects. Fast, effective, and consistently structured. MCP server, Claude Skills, CLI. JSON output available for AI agents.

A pure-Python structured memory benchmark for multi-agent LLM systems — context graph vs vector RAG vs raw history dump, five scenarios, 18 graded queries, zero API calls.

Give AI the right context to do your best work

Self-hosted MCP server for your documentation

Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 14 platforms

AI-native terminal IDE. You control what your AI sees.

Memory-aware context engine for AI coding agents — up to 91% fewer tokens, 17/18 rank-1 across 6 OSS projects. MCP-native, multi-repo, with persistent observations & decisions.

Context Runtime — a database query planner for LLM context. Decides what a model sees before it answers; plans it, runs it through reused substrate, and learns from the outcome.

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Google Calendar MCP – Context-Aware Calendar Operations

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

Context7 MCP Server (with HTTP SSE and Streamable)

Context-central multi-agent framework with PyTorch-like API. Build intelligent agent systems with minimal code.

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector

ContextCore: An MCP server for Claude (or any AI tool) that enables massive token saving through hybrid search (BM25 + Embeddings)

A composable enforcement framework for AI agents and toolchains

ContextLattice is the local-first control plane for long-horizon agent memory and coordination.

ContextLoom is the shared "brain" for multi-agent systems. It weaves together memory threads from frameworks like DSPy and CrewAI into a unified, persistent context, powered by Redis and hydrated from

Agentic gateway providing persistent LLM memory via a markdown wiki. Open-source core of Kortexio.

ContextOS: AI-Centric Proactive Agent Framework

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.