deepagentsLangChain's batteries-included agent harness on LangGraph — planning, sub-agents with isolated context, filesystem, shell, skills, human-in-the-loop and persistent memory out of the box.
Why switchSame job — a batteries-included general autonomous agent that plans, browses and executes multi-step tasks. deepagents is the actively maintained, LangGraph-backed harness; OpenManus is the leaner, quieter reference implementation.
Full comparison → mindshubMindsDB's pivot: a unified 'Cowork' workspace where you delegate whole projects — apps, research, analysis, scheduled operations — to open-source models you can swap anytime.
Why switchBoth answer 'delegate the whole task to an agent' — OpenManus as a minimal open reference you run yourself, MindsHub as a productized workspace with scheduling and a console.
Full comparison → mini-swe-agentThe 100-line agent from the SWE-bench team: >74% on SWE-bench Verified with no tools but bash, no config sprawl — the reference minimal harness, adopted by Meta, NVIDIA and Ramp.
Why switchBoth are open, minimal-core autonomous agents you can actually read. OpenManus goes general (browsing, tool use, multi-step tasks); mini-swe-agent goes narrow and measurable — software engineering with bash only, scored on SWE-bench.
Full comparison → prime-agentSelf-improving coding/research agent around a Recursive Language Model: persistent IPython as the core tool, programmatic subagents, durable harness state it refines via evidence-backed /refine.
Why switchBoth are open autonomous agents for long tasks; OpenManus goes general-purpose browsing-and-tools, Prime Agent specializes in coding/research with durable programmatic state.
Full comparison →