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Multi-agent

Discovered via Open Source Repositories
↓ Cooling

Macro Curiosity Trend

Daily Wikipedia pageviews tracking momentum. Dashed line represents 7-day moving average.

Executive SaaS Synthesis
Positioning: Scalable, efficient, and robust multi-agent swarm intelligence

This feature request addresses critical performance and operational bottlenecks in ClawTeam's multi-agent architecture. The current model of full workspace copying for each worker leads to excessive disk usage, slow startup times, lost environment variables, and CLI deadlocks in headless mode. These issues severely limit scalability and efficiency for "full automation." The proposed solutions—whitelist protection, symlinking dependencies, and a headless wrapper—are essential for achieving significant resource reduction and enabling robust non-interactive execution. This optimization is paramount for ClawTeam to deliver on its promise of scalable agent swarm intelligence, particularly in resource-constrained or high-throughput environments.

Commercial Validation

No explicit venture capital filings detected for entities directly matching this keyword phrase yet. This may indicate an early-stage, pre-commercial developer trend.

Media Narrative

Dominant Sentiment: Autonomous Agent Proliferation

Adjacent Technical Concepts

worker workspace size Headless IPC full copy of the workspace Disk space explodes Slow startup node_modules .venv Lost env vars API keys not inherited CLI blocking Interactive prompts deadlock Whitelist Protection

Discovery Context & Origin Evidence

Raw data extracts showing exactly how engineers, founders, and researchers are utilizing the term "Multi-agent" in the wild.

GitHub Repository

THU-MAIC/OpenMAIC

11,568
Stars
1,719
Forks
Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click...
GitHub Repository

JackChen-me/open-multi-agent

5,073
Stars
2,099
Forks
TypeScript multi-agent framework — one runTeam() call from goal to result. Auto task decomposition, parallel execution. 3 dependencies, deploys anywhere Node.js runs....
GitHub Developer Issue

[Feature] Ollama / local model LLMAdapter

open
Metric
2
Replies
... LMAdapter implementation for Ollama, enabling local model support (Qwen, etc.). ## Motivation Many users (especially from r/LocalLLaMA) want to run multi-agent workflows without depending on cloud APIs. The `LLMAdapter` interface only requires two methods (`chat()` and `stream()`), so the implementation cost should be low. ## Proposed Approach - Implement `OllamaAdapter` that calls Ollama's `/api/chat` endpoint - Support tool calling via Ollama's function calling format - Handle streaming via SSE - Allow configuring base URL (default `http://localhost:11434`) ## Acceptance Criteria - [ ]...
GitHub Developer Issue

[Discussion] What are you building with open-multi-agent?

open
Metric
1
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## 👋 Tell us about your use case! We'd love to hear what you're building (or planning to build) with open-multi-agent. Some questions to get the conversation going: - **What's your use case?** (code generation, data analysis, content creation, DevOps automation, etc.) - **How many agents are in your team?** What roles do they play? - **Which LLM providers are you using?** (Anthropic, OpenAI, local models?) - **What's missing?** What feature would make the biggest difference for your workflow? This helps us prioritize the roadmap and understand real-world needs. No use case is too small or ...

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