AgentIndex icon
AgentIndex
Agentflow logo
Agentflow
★ 27
vs
agentweave logo
agentweave
★ 42

Agentflow vs agentweave

Agentflow: Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows, offering an LLM-agnostic core engine. It provides a full-stack ecosystem including an API server, CLI, TypeScript client, visual playground, and documentation for taking multi-agent systems from prototype to production.; 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

Agentflow logo
AgentflowMulti-Agent · ★ 27

Building Reasoning Agents

Read Agentflow full review →
agentweave logo
agentweaveMulti-Agent · ★ 42

Managing large heterogeneous tool catalogs for LLMs or agents.

Read agentweave full review →
02

Side-by-Side Comparison

Field
Agentflow logoAgentflow
agentweave logoagentweave
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 42
License
MIT
Apache-2.0
Install Command
pip install 10xscale-agentflow 10xscale-agentflow-cli && agentflow init my-agent && cd my-agent && agentflow api
python -m pip install agentweave-router
Updated
1d ago
3w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent Orchestration, LLM Framework, Python
LLM Tool Routing, Multi-Agent Orchestration, Function Calling
03

Features

Agentflow logoAgentflow
01LLM-Agnostic Orchestration
02Multi-Agent Workflows
03Parallel Tool Execution
04Realtime Audio Agents
05State Management & Checkpointing
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

Agentflow logoAgentflow
↳Building Reasoning Agents
↳Retrieval-Augmented Generation (RAG)
↳Multi-Agent Collaboration
↳Realtime Voice Applications
↳Workflow Automation
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.
FAQ

FAQ

What is the difference between Agentflow and agentweave?
Both Agentflow and agentweave are in the Multi-Agent category. Agentflow has 27 stars, while agentweave has 42 stars.
Which is better, Agentflow or agentweave?
The best choice depends on your use case. Choose Agentflow if Building Reasoning Agents, and agentweave if Managing large heterogeneous tool catalogs for LLMs or agents..
Is Agentflow free or open source?
Yes, Agentflow is open source on GitHub (MIT).
Is agentweave free or open source?
Yes, agentweave is open source on GitHub (Apache-2.0).
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Related

Alternatives to Agentflow →Alternatives to agentweave →Agentflow details →agentweave details →