
AgentFarm
AI coding agents that run on your machine, not the cloud
What it does
Three smart routing paths cut token waste to near zero. Every task is classified: DIRECT skips planning entirely, QUICK uses deterministic templates, FULL runs the multi-agent pipeline. Each agent gets only the context it needs, sliding window compression, dynamic tool filtering, parallel execution. Five specialized agents plan, code, verify, and review your work. Runs 100% on your hardware via Ollama. No cloud, no API keys, no data leaks. Open source, GDPR-ready. Built in Sweden.
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- 2C20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Synthetic BrewJul 2026 · syntheticbrew.ai · ▲9Open-source AI agent runtime — build Agents in plain English
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Switch from ChatGPT to Claude with import memory feature
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