DSPy + RLM agent framework runs on Qwen-4B and keeps large context outside the model
dosco · x · 2026-07-22
A research-focused OpenCLaaw-style agent built on the DSPy + RLM framework can run on models as small as Qwen-4B.
The post argues that Recursive Language Models are a strong step toward democratizing AI access because they let agents keep large files and datasets outside the main context, then use code to retrieve relevant pieces, query models separately, and combine the results.
More from coding & agent
- Agent Field Kit launches $29 security runbooks for production AI agents — alvelda · 2026-10-27
- Dev mixes Claude specs with abliterated GLM to build SS7 threat detector — l4rz · 2026-10-27
- Cloudflare Durable Objects validated as top architecture for AI agent WebSocket servers — tristanbob · 2026-10-27
- GitHub Next's Chopin prototype explores real-time multiplayer agentic planning — max__drake · 2026-10-27
- Veynod: An Open-Source Shared Workspace Where AI Agents Collaborate Like a Team — TKOWNS · 2026-10-27
- TMLR paper: enforced thinking doesn't reliably make LLM agents disclose key info to users — SharonYixuanLi · 2026-10-27