trueforgeTrueFoundry's open agent harness: the runtime loop — model calls, MCP tools, SKILL.md packs, sandboxing, approvals, compaction — behind a chat UI, HTTP API, TypeScript SDK and embeddable UI.
Why switchBoth ship the batteries — planning, subagents, filesystem, skills, human-in-the-loop. deepagents is a Python library on LangGraph you compose in code; TrueForge is a TypeScript server with a chat UI, HTTP API and catalogs you configure once.
Full comparison → CrewAIOrchestrate role-playing, autonomous AI agents that collaborate on tasks.
Why switchSame job — a framework for multi-agent systems — different philosophy: CrewAI models role-playing crews; deepagents is one deep agent that plans and delegates to sub-agents with isolated contexts.
Full comparison → OpenManusOpen-source general autonomous agent from the MetaGPT team — the 'Manus without an invite code': browsing, tool use and multi-step task execution from a simple Python core.
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 → AutoGenMulti-agent conversation framework for building LLM applications with cooperating agents.
Why switchBoth are batteries-included multi-agent frameworks; AutoGen centers on agent-to-agent conversation, deepagents on a single planner with sub-agents, filesystem and context management.
Full comparison → hiveYC-backed multi-agent harness for production: state an objective and the runtime compiles a graph DAG of specialized agents — role-based memory, crash recovery, cost limits, human-in-the-loop.
Why switchBoth are batteries-included harnesses for long-running multi-agent work: deepagents gives you explicit LangGraph composition — you own the plan; Hive compiles the DAG from a stated objective and adds self-healing, cost caps and audit trails.
Full comparison →