"SQLite" matching MCP servers:

Provides an append-only SQLite journal for orchestrator/worker AI workflows, enabling delegation, reporting, verification, and tracking of tasks with built-in search and optional cloud sync.

MADE coordinates auditable human-agent procedures with work claims, review gates, approvals, and resumable sessions. Its local MCP server uses SQLite.

Enables AI clients to programmatically build, validate, run, and test executable agent graphs as nodes and wires through local MCP tools, with SQLite storage and no cloud dependency.

Enables autonomous hierarchical multi-agent orchestration for MCP, with persistent SQLite state, real-time web monitoring, and support for mixing multiple CLI and direct API execution providers.

A transport-agnostic MCP seam for messages, context sharing, and task hand-off between humans, chat bots, and coding agents. Supports multiple backends like SQLite, Redis, Matrix, NATS, and XMPP to bridge Claude chat with Claude Code.

Local-first MCP server that enables multiple Claude agents to coordinate through a shared message bus with SQLite persistence and real-time clock anchoring.

Airlock provides named resource locks, atomic shared state, presence, events, and a task queue for AI agents to coordinate on a shared filesystem, with blocking waits and SQLite-backed persistence.

Enables coordinating two coding agents through a shared SQLite task pool with an explicit review workflow, allowing agents to query, claim, submit, review, and approve or reject tasks while enforcing reviewer and iteration safeguards.

Enables multiple coding agent sessions to form local squads where a commander dispatches tasks and executors report progress, ask questions, and receive correlated answers through MCP tools backed by a persistent SQLite message queue.

Reduces token consumption for AI coding agents by 50-70% through intelligent code context filtering, Git delta tracking, and local SQLite/Tree-sitter indexing.

Provides a durable SQLite-backed work queue for AI agents, enabling creation, claiming, starting, handing off, failing, and completing work items via MCP tools.

Enables AI agents to exchange structured work items with an auditable lifecycle, supporting send, acknowledge, block, complete, and cancel operations via a shared SQLite-backed inbox.

Enables agents to pause and ask a human for a decision, then resume with the answer, via a self-hosted SQLite-backed MCP server with console or phone interfaces.

Local MCP server for indexing personal knowledge into SQLite with hybrid search, chunk-level citations, memory tools, and agent orchestration.

Enables agents to exchange messages through a local-first SQLite-backed bus with inboxes, group work queues, acknowledgements, retries, and scheduling over loopback.

A SQLite-backed message queue system that enables multiple AI agents to communicate with each other via a simple HTTP interface.

A local MCP server using SQLite to unify context and memory across multiple AI agents, enabling persistent decisions and preferences without re-explanation.

Enables agents to coordinate through a shared SQLite authority, claiming and handing off work, posting notes, and reading a live board with proof-gated completion.

MCP server that lets multiple coding-agent sessions on the same machine discover each other and collaborate through a shared SQLite database.

Enables two local coding-agent sessions to exchange tasks, reports, and blockers over named channels with enforced turn ownership, session recovery, and SQLite-backed state.