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agent-swarm
by desplega-ai
Agentic OS for running and coordinating persistent multi-agent teams
TypeScript
Updated Oct 24, 2026
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Overview
Manages and runs teams of persistent agents as an agentic operating system. Provides runtime primitives for spawning subagents, routing tasks, and coordinating parallel workflows with human-in-the-loop hooks. Distinctive features include persistent memory per agent, Slack integration for human intervention, and TypeScript-first SDK for building custom agent teams. Sub-Agent Delegation Pattern helps structure how subagents are spawned and governed.
Key Benefits
As agents become more autonomous and delegate work to specialists, tracking who did what and why becomes crucial for trust. An agent OS like this centralizes orchestration and logging so you can observe agent behavior, audit decisions, and enforce governance policies. That visibility makes it practical to collect the signals needed for multi-agent trust, agent track record, and continuous evaluation workflows. Model Context Protocol (MCP) and Trust Signal provide the formal underpinnings and observable cues needed for robust trust and governance across agent teams.
Ideal For
Teams building production multi-agent workflows that need persistent agents, human-in-the-loop controls, and observable coordination. Guardrails Pattern helps codify safety and governance around these workflows.
Real-World Examples
- Coordinate specialist subagents to solve complex developer tasks with parallel workers
- Persist agent memory and logs to build agent track records for reputation or auditing
- Insert human approvals via Slack while running automated agent workflows
- Run pre-production multi-agent scenarios to collect interaction logs for evaluation
Works With
openaianthropicslack
Topics
agent-coordinationagent-harnessagent-infrastructureagent-osagent-runtimeagent-swarmagent-teamsagentic-osagentic-workflowsai-coding-agent+10 more
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Keywords
multi-agent orchestrationagent-to-agent evaluationagent track recordagent governance