| # | Tool | Pricing | AgentPick Score | Try it |
|---|---|---|---|---|
| #1 | CrewAI 1.15.28 | Open source | 92/100 | Official source ↗ |
| #2 | Agno 3.1.3 | Open source | 91/100 | Official source ↗ |
| #3 | LangGraph 1.2.15 | Open source | 90/100 | Official source ↗ |
| #4 | Google Agent Development Kit (Python) 2.12.0 | Open source | 88/100 | Official source ↗ |
| #5 | LangChain Deep Agents 0.7.23 | Open source | 87/100 · Hands-on tested 7.2/10 | Official source ↗ |
| #6 | Mastra core 1.77.0 | Open source | 86/100 | Official source ↗ |
| #7 | OpenAI Agents SDK (Python) 0.23.1 | Open source | 86/100 | Official source ↗ |
| #8 | Microsoft Agent Framework (Python) 1.21.0 | Open source | 85/100 | Official source ↗ |
| #9 | Flocks v2026.10.13 | Open source | 63/100 | Official source ↗ |
Ordered by AgentPick Score. Links may become affiliate links; they never change order. Disclosure.
CrewAI 1.15.28Verdict: A useful debugging release for teams running crews in production: the new eval command targets the hardest question, where a run went wrong. Mostly fixes otherwise.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
Agno 3.1.3Verdict: Interesting if you want to wrap the Claude and Codex agent SDKs in a durable, multi-replica service. Niche for simple single-process agents.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
LangGraph 1.2.15Verdict: The low-level choice when you need explicit control over agent state, branching and persistence. More code than CrewAI's role-based crews, but more control.
Test notes: The verdict is based on the linked public sources only.
Pricing: Open source
Google Agent Development Kit (Python) 2.12.0Verdict: A solid release if you build on Google's stack: human-in-the-loop approvals and tool-output filtering are practical safety controls. The 40% speed-up is Google's own claim; we haven't measured it.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
LangChain Deep Agents 0.7.23Verdict: A small but useful release for anyone building skill-based subagent setups on LangGraph. In our hands-on smoke test (7.2/10) it installed cleanly and ran out of the box, and the new skill pinning is in the code.
Test notes: Hand-tested on 14 Oct 2026: installed deepagents==0.7.23 from PyPI into a clean Python 3.13 venv, built an agent with create_deep_agent(), and ran it end to end against an offline stand-in model (no API key). It installed and ran cleanly, and pinned_skills is present in the skills/subagent middleware. Offline stand-in score; live-model runs use the same AgentPick Score and Hands-on tested badge when available.
Pricing: Open source
Mastra core 1.77.0Verdict: A strong pick for TypeScript teams that need agents to run code in sandboxes. The new Factory pieces matter most if you run many sandboxed sessions.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
OpenAI Agents SDK (Python) 0.23.1Verdict: A patch release with no new features. Listed for completeness; update when convenient.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
Microsoft Agent Framework (Python) 1.21.0Verdict: Most relevant for teams in the Microsoft/Azure stack that need policy controls such as Purview. Otherwise this is an incremental release.
Test notes: The verdict is based on the linked public release notes only.
Pricing: Open source
Flocks v2026.10.13Verdict: Worth a look if you're building multi-agent workflows for security operations. Its README positions it as a SecOps platform, not a general-purpose framework. We checked the repo and release notes but didn't install it (it needs uv, Node 22, and agent-browser).
Test notes: The verdict is based on the linked public sources only.
Pricing: Open source
Last updated 15 Oct 2026.
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