Enables AI assistants to read and write a local-first SQLite memory vault from inside a chat — orienting on inherited context, searching and fetching past decisions and notes, wandering linked memories, and recording new ones on demand. All data stays on the user's machine, shared across local and cloud tools via MCP.

Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

Enables Claude and ChatGPT to manage Motion tasks through one shared API core, including capturing next actions, preserving resume context, checking duplicates, and reporting scheduling health. It serves local stdio clients and OAuth-protected Streamable HTTP clients.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

MCP server for reading, editing, and comparing Word (.docx) and OpenDocument (.odt) files with tracked changes. For Claude, Gemini CLI, Cursor, and any MCP client. Apache-2.0 licensed.

Let your Claude Code sessions talk to each other 🤖💬

Enables Alexa+ to turn natural-language household goals into context-aware, confirmation-gated plans, execute them, and verify that devices actually reached the intended state.

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

Relay context from your agent to someone else's agent, with the purpose and the rules attached.

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

Football coaching advice, session plans and animated practices from your AI assistant.

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