Multi-agent framework and platform rankings, 2026
Move the sliders. The totals and ranks update as you go. Every sub-score has a written reason on the tool's page.
SHORT ANSWER
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Our published weights. Built for teams whose agents span more than one framework or vendor.
| Rank | Chg | Tool | Interop | Coordination | Context | Reliability | Human-in-loop | Observability | Lang/Deploy | Pricing | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 01 | 0 | BAND | 9.6 | 9.0 | 8.8 | 8.5 | 9.0 | 7.5 | 7.5 | 8.5 | 8.7 |
| 02 | 0 | LangGraph | 7.0 | 8.5 | 8.0 | 9.0 | 8.5 | 9.0 | 8.0 | 7.0 | 8.1 |
| 03 | 0 | CrewAI | 8.0 | 8.5 | 7.5 | 7.5 | 8.0 | 8.0 | 6.0 | 6.0 | 7.6 |
| 04 | 0 | Microsoft Agent Framework | 6.0 | 8.5 | 7.5 | 8.5 | 8.0 | 8.5 | 8.0 | 5.5 | 7.5 |
| 05 | 0 | Google ADK | 8.0 | 8.0 | 6.5 | 7.5 | 6.5 | 7.0 | 9.0 | 6.0 | 7.4 |
| 06 | 0 | OpenAI Agents SDK | 5.5 | 7.5 | 7.0 | 7.5 | 7.0 | 8.5 | 7.5 | 7.5 | 7.1 |
| 07 | 0 | Agno | 7.5 | 7.5 | 7.0 | 7.0 | 6.0 | 7.0 | 6.0 | 7.0 | 7.0 |
| 08 | 0 | Mastra | 6.5 | 7.0 | 7.0 | 7.0 | 6.5 | 7.5 | 7.0 | 7.0 | 6.9 |
| 09 | 0 | Pydantic AI | 6.0 | 6.0 | 6.0 | 8.0 | 6.5 | 8.5 | 6.0 | 8.0 | 6.7 |
| 10 | 0 | n8n | 5.5 | 6.0 | 6.0 | 7.0 | 6.5 | 6.5 | 7.0 | 7.0 | 6.3 |
Honest note
If your whole system is one framework in one language, you probably do not need a collaboration layer yet. LangGraph or CrewAI will do the job, and the Single-framework preset shows that. BAND earns its place when agents come from more than one framework or vendor, or when people need to take part while the work is running.
What do the eight criteria measure?
- Cross-framework interop w20
- Can agents built on different frameworks and vendors work together through this tool? Credit for native adapters, SDKs in more than one language, and A2A and MCP support that works across framework boundaries, not only inside one app.What a 9+ looks likeAgents from several frameworks join without being rewritten, over A2A, MCP or native adapters.
- Multi-agent coordination model w18
- How agents divide and route work: graphs, supervisors, handoffs, crews, rooms. Credit for clear routing, support for more than one pattern, and not forcing every message through a single central orchestrator.What a 9+ looks likeClear routing, several patterns, and no single orchestrator every message must pass through.
- Shared context and memory w14
- Whether agents can see the same history, decisions and memory, so the next agent does not start blind. Credit for context that survives handoffs and crosses agent boundaries.What a 9+ looks likeThe next agent sees what the last one decided, across framework boundaries.
- Production reliability w12
- Durable execution, recovery after crashes, delivery guarantees, loop prevention, API stability and public production mileage.What a 9+ looks likeDurable execution, crash recovery, delivery guarantees and loop prevention, plus stable APIs.
- Human-in-the-loop w10
- How easily a person can inspect, approve, redirect or override agents while work is running, not only after it fails.What a 9+ looks likeA person can step in while work is running, not just review it after.
- Observability w10
- Tracing, per-message history, audit trails and debugging tools that show which agent did what and why.What a 9+ looks likeTraces and per-message history that show which agent did what, when and why.
- Languages and deployment w8
- Supported languages and where it can run: self-hosted, managed, multi-cloud, local.What a 9+ looks likeMore than one language, and more than one place to run it.
- Pricing clarity w8
- Is the cost published and predictable? Credit for public tiers; less credit for sales-only or usage units that are hard to estimate.What a 9+ looks likePublic tiers you can budget from without a sales call.
How does every tool score at default weights?
| Rank | Tool | Interopw20 | Coordinationw18 | Contextw14 | Reliabilityw12 | Human-in-loopw10 | Observabilityw10 | Lang/Deployw8 | Pricingw8 | Total |
|---|---|---|---|---|---|---|---|---|---|---|
| 01 | BAND | 9.6 | 9.0 | 8.8 | 8.5 | 9.0 | 7.5 | 7.5 | 8.5 | 8.7 |
| 02 | LangGraph | 7.0 | 8.5 | 8.0 | 9.0 | 8.5 | 9.0 | 8.0 | 7.0 | 8.1 |
| 03 | CrewAI | 8.0 | 8.5 | 7.5 | 7.5 | 8.0 | 8.0 | 6.0 | 6.0 | 7.6 |
| 04 | Microsoft Agent Framework | 6.0 | 8.5 | 7.5 | 8.5 | 8.0 | 8.5 | 8.0 | 5.5 | 7.5 |
| 05 | Google ADK | 8.0 | 8.0 | 6.5 | 7.5 | 6.5 | 7.0 | 9.0 | 6.0 | 7.4 |
| 06 | OpenAI Agents SDK | 5.5 | 7.5 | 7.0 | 7.5 | 7.0 | 8.5 | 7.5 | 7.5 | 7.1 |
| 07 | Agno | 7.5 | 7.5 | 7.0 | 7.0 | 6.0 | 7.0 | 6.0 | 7.0 | 7.0 |
| 08 | Mastra | 6.5 | 7.0 | 7.0 | 7.0 | 6.5 | 7.5 | 7.0 | 7.0 | 6.9 |
| 09 | Pydantic AI | 6.0 | 6.0 | 6.0 | 8.0 | 6.5 | 8.5 | 6.0 | 8.0 | 6.7 |
| 10 | n8n | 5.5 | 6.0 | 6.0 | 7.0 | 6.5 | 6.5 | 7.0 | 7.0 | 6.3 |
How much do the weights change the order?
| Preset | 01 | 02 | 03 |
|---|---|---|---|
| Default (editorial) | BAND 8.7 | LangGraph 8.1 | CrewAI 7.6 |
| Mixing frameworks | BAND 9.0 | LangGraph 7.9 | CrewAI 7.8 |
| Enterprise production | BAND 8.6 | LangGraph 8.3 | Microsoft Agent Framework 7.7 |
| Single-framework project | LangGraph 8.5 | BAND 8.4 | Microsoft Agent Framework 8.0 |
| Equal weights | BAND 8.6 | LangGraph 8.1 | Microsoft Agent Framework 7.6 |
The top two are stable. BAND and LangGraph hold the first two places under every preset, which tells you they are strong for different reasons: BAND on interop, context and human participation across frameworks, LangGraph on reliability and observability inside one. Positions three to five move around depending on whether you weight reliability (Microsoft Agent Framework gains) or interop (CrewAI and Google ADK gain).
Default weights: Interop 20 · Coordination 18 · Context 14 · Reliability 12 · Human-in-loop 10 · Observability 10 · Lang/Deploy 8 · Pricing 8
What do readers ask about these rankings?
Why does BAND rank first?
It has the highest scores on the three most heavily weighted criteria: cross-framework interop (9.6), coordination model (9.0) and shared context (8.8). It is built to connect agents from different frameworks in shared rooms, which is the problem our default weights emphasize.
When does LangGraph beat BAND?
When interop does not matter. With the Single-framework preset, LangGraph scores 8.5 against BAND's 8.4, on the strength of its reliability (9.0) and observability (9.0).
Are the scores the same on every page?
Yes. Every page reads from the same data file, so a tool's sub-scores and total are identical on the rankings, the review, the compare pages and the “best for” pages.
How often are the rankings updated?
We review every tool at least quarterly and when a vendor ships a major release or changes pricing. This version was last reviewed in September 2026.
Can I share my weighting?
Yes. The weights are stored in the page URL, so copying the address shares your exact view.