ai-agent-channel
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- AlicenseNot gradedqualityAmaintenanceA coordination layer for coding agents that provides memorable identities, inbox/outbox messaging, searchable message history, and file lease management to prevent conflicts. Uses Git for human-auditable artifacts and SQLite for fast queries, enabling multiple agents to collaborate across projects without stepping on each other.2,132MIT
- AlicenseAqualityBmaintenanceEnables local AI coding agents to message each other on one machine using a durable SQLite mailbox and live-ask tools.9MIT
- AlicenseNot gradedqualityFmaintenanceA mail-like coordination layer for coding agents, providing identities, inbox/outbox, searchable threads, and advisory file reservations to prevent conflicts in multi-agent workflows.1MIT
- AlicenseAqualityBmaintenanceLocal-first shared memory and coordination layer for AI coding agents, with repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.303Apache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables MCP-capable coding agents to coordinate via authenticated task creation, claiming, messaging, and review approval over a secure local event log.-
- AlicenseNot gradedqualityCmaintenanceEnables multi-project workspaces to share structured notes, API contracts, and handoff messages via a local SQLite database, with versioning and read tracking.GPL 3.0
TDQS
Scored across 41 tools
Most tools target a distinct resource or lifecycle action, and descriptions explicitly contrast easily confused pairs such as open_obligations vs ready_work vs awaiting_ack, and read_inbox vs list_messages vs search_messages. A few listing/status tools still overlap conceptually, but the boundaries are generally clear.
The set is consistently snake_case and overwhelmingly verb-led (send_message, resolve_message, pin_set, upload_content). Some tools use noun/adjective-led names such as awaiting_ack, channel_status, server_build, and board_link, which are readable but deviate from a strict verb_noun pattern.
At 41 tools, the surface is very heavy for an agent-facing MCP server, mixing core messaging with admin, informational, migration, and edge-case lifecycle tools. The domain is complex, but the count is well above a well-scoped range and increases selection burden.
The tool set covers the channel domain comprehensively: messaging, replies/threads, unread tracking, obligations, resolutions, acknowledgements, work status transitions, pins, uploads, role/channel administration, waiting, and backfill/undo. No obvious core workflow dead ends are apparent.