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swarmclaw

by swarmclawai

Self-hosted TypeScript runtime for orchestrating autonomous agent swarms

TypeScript
Updated Jun 30, 2026
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Summary

Runs a self-hosted TypeScript runtime for autonomous agent swarms with built-in memory, scheduling, delegation, and MCP tooling. Implements multi-agent orchestration and agent-to-agent communication while supporting 23+ LLM providers and pluggable connectors for common models. Notable features include agent memory, delegation policies and a practical alternative to Claude Code and LangChain for on-prem or hybrid deployments. Model Context Protocol (MCP) tooling.

The Value Proposition

As agents become more autonomous, tracking who did what and why across hand-offs is essential to build trust and diagnose failures. SwarmClaw provides runtime primitives (memory, schedules, delegation) that make agent interactions observable and reproducible, which is a foundation for agent-to-agent evaluation and reputation tracking. By self-hosting connectors and MCP support, it reduces blind spots that cloud-only stacks introduce when auditing agent behavior. Audit Trail.

Ideal For

Teams building multi-agent systems that need a self-hosted runtime with memory, delegation, and many LLM provider integrations. This setup supports agent-to-agent interactions via the Agent-to-Agent Protocol (A2A), and for patterns and structuring responsibilities, see the Role-Based Agent Pattern.

Real-World Examples

  • Orchestrating specialist agents with hand-offs and persistent memory
  • Running on-prem or hybrid multi-LLM deployments for compliance and auditability
  • Implementing delegation and scheduling policies for continuous agent workflows
Works With
openaianthropicollamaopenrouterclaude
Topics
agent-frameworkagent-memoryagent-runtimeagent-swarmagentsaiai-agent-frameworkai-agentsautonomous-agentsclaude+10 more
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Keywords
multi-agent trustagent-swarmagent-runtimemcp