hive logo
hive
★ 11.1k
vs
agentweave logo
agentweave
★ 42

hive vs agentweave

hive: Hive is a framework for building reliable, self-improving AI agents without hardcoding workflows. It defines goals through conversation with a coding agent, which then generates a node graph with dynamically created connection code.; agentweave: AgentWeave provides pre-inference tool routing and a policy-aware function-calling and execution boundary for large language models and multi-agent systems. It significantly reduces the number of tools an LLM needs to consider before making a function call, leading to improved efficiency and reduced token usage.

01

TL;DR

hive logo
hiveMulti-Agent · ★ 11.1k

Developing self-improving AI agents for complex, evolving tasks.

agentweave logo
agentweaveMulti-Agent · ★ 42

Managing large heterogeneous tool catalogs for LLMs or agents.

02

Side-by-Side Comparison

Field
hive logohive
agentweave logoagentweave
Category
Multi-Agent
Multi-Agent
Stars
★ 11.1k
★ 42
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/adenhq/hive.git cd hive cp config.yaml.example config.yaml npm run setup docker compose up
python -m pip install agentweave-router
Updated
4d ago
3w ago
Open Source
Yes
Yes
Tags
AI Agent Framework, Multi-Agent Orchestration, Goal-Driven AI
LLM Tool Routing, Multi-Agent Orchestration, Function Calling
03

Features

hive logohive
01Goal-Driven Development
02Self-Adapting Agents
03Dynamic Node Connections
04SDK-Wrapped Nodes
05Human-in-the-Loop
agentweave logoagentweave
01Pre-inference tool routing: Reduces the set of tools the model has to reason over before inference.
02Policy-aware execution boundary: Enforces deterministic scope, schema validation, and authorization after tool selection.
03Provider-neutral integration: Works with MCP, LangGraph, AutoGen, A2A, and custom tool catalogs.
04Improved efficiency: Achieves 70.18% fewer tools exposed and 61.70% fewer input tokens compared to baselines.
05Robust runtime controls: Includes argument validation, replay/idempotency guard, and secure HTTP transport.
04

Use Cases

hive logohive
↳Developing self-improving AI agents for complex, evolving tasks.
↳Building production-ready multi-agent systems with high reliability and automatic recovery.
↳Creating goal-driven AI applications where outcomes are defined in natural language.
agentweave logoagentweave
↳Managing large heterogeneous tool catalogs for LLMs or agents.
↳Enterprise capability catalogs where role, tenant, and policy constraints are paramount.
↳Multi-agent specialist pools and A2A ecosystems requiring efficient tool selection.
↳Integrating with existing agent frameworks like LangGraph and AutoGen for enhanced tool management.
↳Cloud agents and edge runtimes where precise control over tool access and execution is needed.
05

Best For

hive logohive
Most PopularTrending
agentweave logoagentweave
—
FAQ

FAQ

What is the difference between hive and agentweave?
Both hive and agentweave are in the Multi-Agent category. hive has 11.1k stars, while agentweave has 42 stars.
Which is better, hive or agentweave?
The best choice depends on your use case. Choose hive if Developing self-improving AI agents for complex, evolving tasks., and agentweave if Managing large heterogeneous tool catalogs for LLMs or agents..
Is hive free or open source?
Yes, hive is open source on GitHub (Apache-2.0).
Is agentweave free or open source?
Yes, agentweave is open source on GitHub (Apache-2.0).
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