Enables AI agents to query a Python codebase as a knowledge graph over MCP, exposing symbol search plus callers, callees, and module dependency tools.

Connects MCP hosts and LangChain agents to a local WAHA (WhatsApp HTTP API) instance, exposing tools for session management, chats, messages, contacts, and sending text, images, or files. It also provides an operational skill prompt covering lifecycle, chat ID formats, send guardrails, media rules, and error handling.

Enables agents to use ACT-R spreading activation memory, semantic association graphs, and automated memory consolidation via the Model Context Protocol.

Enables AI agents to drive remote desktops through the local RustDesk client on macOS, launching sessions, capturing the session window, and injecting keyboard and mouse input. Exposes session lifecycle, screenshot, input, and device book capabilities as MCP tools.

MCP server for 2kw.ai — EU-hosted AI platform: OpenAI-compatible LLM gateway, schema-driven document extraction, transcription, agents with a knowledge base, and cost observability. 199 tools for Claude Code, Cursor, and Windsurf.

蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.

Persistent memory for AI agents: keyed facts, a wake bundle each session, one memory in every model.

Claude Code Manager: a VS Code sidebar for Claude Code sessions, usage and limits, accounts, MCP, skills, hooks, agents and plugins. 100% local.

Local-first MCP server that gives coding agents structured context packets, code/schema facts, and diagnostics - backed by a local SQLite store.

The cloud Mac alone, with Xcode, for AI agents: run commands, build and test, use the screen.

Shared memory for teams and their AI agents: Markdown concepts with typed links in shared bundles.

Shared Markdown memory for your agents: docs, typed collections, files, skills and Dispatch.

Memory for your AI: what you saw on screen, said in calls and worked on, searchable by agents.

Persistent memory, knowledge graph, task management and more for AI agents via MCP.

Memory for AI agents: facts a person approved, each with a link, and answers that cite them.

Audit AI agents' tool calls, planning and memory; Base on-chain data; pay per call via x402.

PostgreSQL, MySQL, and SQL Server in one session. 26 read-only MCP tools for AI agents.

Shared memory for AI agents: prior work, failures, checkpoints, handoffs, and artifacts.

Rules-based context reduction, planning checks, research prompts and fixed experiences for agents.

Shared memory for AI agents: a hierarchical database where totals add up and writes are attributed.

HL7 FHIR R4 health-data API for AI agents: free sandbox, 30 synthetic patients, AI-ready context.

Shared memory and mail for your AI agents. Verified with Claude Code; other MCP clients in testing.

Private, self-describing memory for agents: one house per customer, on a machine of its own.

Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.