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Compare/Agno vs Dapr Agents

AgnovsDapr Agents

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Agno
Agno · Agent framework
OSSMCP
Panel
7.0
7 spec wins
Reliability
6.8
Usefulness
7.2
Cost
7.2
Longevity
6.8

“The recommended way to set it up is to paste a prompt into Claude Code and let it read the README for you.”

Dapr Agents
Dapr · Agent framework
OSSMCP
Panel
7.0
0 spec wins
Reliability
7.2
Usefulness
6.2
Cost
7.0
Longevity
7.5

“It reaches more than fifty enterprise data sources, which is fifty new ways to be told your credentials expired.”

Spec by spec

SpecAgnoDapr Agents
Architecture
CategoryAgent frameworkAgent framework
Runslocal, cloudlocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverYesNo
Capabilities
Runs terminal commandsYesNo
Multi-file editsNoNo
Git operationsNoNo
Browser controlYesNo
Sandboxed executionYesNo
Multi-agent orchestrationYesYes
Headless / CI modeYesNo
Models
BackboneAnthropic, OpenAI, Google, AWS Bedrock, Azure, Mistral, Groq, Cohere, OllamaOpenAI, Anthropic
Bring your own modelYesYes
Local modelsYesNo
Cost
Pricing modelbyokbyok
Starts at$0/mo$0/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceYesYes
LicenseApache-2.0Apache-2.0
GitHub stars42,478753

Which one would each critic pick

CriticAgnoDapr AgentsPick
El Juez——not enough reviews
El Amigo7.56.8Agno — Pick Agno if you write Python and want the agent running as a service with an API and a UI by tonight; pick LangGraph if you want to draw the graph and own the plumbing.
El Crítico6.56.3Agno — Formerly phidata, now a framework plus an AgentOS runtime with fifty-plus endpoints to keep stable; two repositionings in one project's life is the risk.
El Profesor6.87.5Dapr Agents — Agent runs are expressed as durable workflows, which imposes a replay discipline: the orchestration must be deterministic and every model call has to sit behind an activity boundary.
La Inversora7.07.0no preference
La Jefa6.57.0Dapr Agents — Nothing per seat, and the operational surface is one my platform team already watches: the same sidecars, the same components, the same dashboards as every other service.
El Hacker7.87.3Agno — Apache-2.0, pip install agno, Ollama on the list, a Postgres I run, and the agents come out as an MCP server; the control plane is hosted, and self-hosting it is an Enterprise add-on.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.