The request asks what to use for dispatching parallel agents. Products that genuinely coordinate multiple agents running in parallel include Network-AI, which dispatches work to named agents via a blackboard with locking and an agent_spawn action 616, Retasc, which hands a shared backlog to parallel agents with leases and no collisions 3, Lanes, which runs several coding agents in parallel on separate git worktrees 5, and LangChain's Deep Agents, which covers subagents and task planning
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Network-AInetwork-ai.orgverified and signed
A TypeScript/Node.js multi-agent orchestration layer that uses shared-state locking and permission gating to coordinate parallel agents, with an agent_spawn action that dispatches a task to a named agent 616.
for agents: agent_spawn · agent_list · agent_stop
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Retascretasc.comwebsite read, tools not yet checked
An issue tracker for AI coding agents that dispatches and leases work from one backlog so that parallel agents never hold the same issue 3.
official:MCP server · Retasc
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Laneslanes.shwebsite read, tools not yet checked
Runs several coding agents in parallel, each on its own issue and git worktree, and follows them from one board 5.
+1 community tools built for it
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Sources
- 2LangChain: the open agent platform to own your intelligencelangchain.com · read 2026-10-29
- 3Retasc: the issue tracker that hands your backlog to AI agentsretasc.com · read 2026-10-29
- 5Lanes | Run your agentic fleet at scale.lanes.sh · read 2026-10-29
- 6Network-AI | Multi-Agent Orchestration for Production Systemsnetwork-ai.org · read 2026-10-29
- 12deep-agents-orchestration: declares "deep-agents-orchestration" (the record we read and signed)unfragile.ai · read 2026-10-24
- 16network-ai: declares "agent_spawn" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
parallel · Parallel verified and signed
Use when building AI agents that need to search the web, extract
deep-agents-orchestration · deep-agents-orchestration verified and signed
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
· Retasc website read, tools not yet checked
The issue tracker for AI coding agents. Run your whole fleet in parallel on one backlog, with no collisions and no stranded work.
· agentproto website read, tools not yet checked
Switch from Claude Code to Codex without starting from scratch. Run your coding agents side by side.
· Lanes website read, tools not yet checked
Lanes lets you run autonomous agents in parallel with the right context, memory, and governed access.
agent_spawn · network-ai verified and signed
Write a task record to the blackboard to dispatch work to a named agent on its next poll cycle. Returns {ok:true, taskKey, agentId, instruction, written:true} on success. Returns {ok:false, error:"..."} if agent_id, task_key, or instruction is missing, or if payload_json is malformed. Call agent_lis
· Parallel Tasks website read, tools not yet checked
Web infrastructure for AI to search, extract, monitor, and reason over the world's information.
· CrewAI website read, tools not yet checked
The Leading Multi-Agent Platform
· Prefect website read, tools not yet checked
Orchestrate workflows with Prefect. Connect AI agents to your tools and data with FastMCP Gateway. Open-source foundations, production-ready platforms.
custom_api_call · Notion (Activepieces) verified and signed
Custom API Call — Make a custom API call to a specific endpoint
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.