Head to head · Agent frameworks · October 2026 research run

AgentOS vs Agno

AgentOS scores 75.3 (BB) on agent readiness against Agno's 72.8 (BB), and leads in 4 of 7 scored categories. Agno leads on reliability and transparency & trust. Both do agent frameworks.

Which one, for what

AgentOS BB

Good for TypeScript teams that want long-term memory, personas, voice and channel adapters and multi-agent teams in one package, and that will pin versions.

Ahead on

  • Security & auth, 81 against 64
  • Payments & pricing, 60 against 50

Also in its favour

  • Free to start without a card

Watch for

Version 0.12.12, with 27 releases on 7 and 8 October 2026 and breaking minors 0.11.0 and 0.12.0 on the same day

Agno BB

Good for Python teams that want agents, teams and workflows plus a self-hosted server with REST, MCP, approvals and scheduling in one package.

Ahead on

  • Reliability, 83 against 77
  • Transparency & trust, 83 against 64

Watch for

Usage telemetry is on by default and sends session, run and agent identifiers unhashed. Prompts and outputs are not sent

Score by category

CategoryWeight this runAgentOSAgnoEdge
Reliability16%207783Agno +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29290AgentOS +2
Agent ergonomics13%16.27476Agno +2
Security & auth14%17.58164AgentOS +17
Payments & pricing10%12.56050AgentOS +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88786AgentOS +1
Transparency & trust7%8.86483Agno +19
Negative events≤15-2-3
Total75.3 · BB72.8 · BB

Facts side by side

FactAgentOSAgno
KindAgent frameworkAgent framework
VendorFramers Lab, Inc.Agno Inc.
Hosted endpointno (local only)no (local only)
Transports
AuthAPI keyAPI key
PricingFreeFree
x402nono
LicenceApache-2.0Apache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-082026-10-02
Terms last updated2025-11-06couldn't be read
Privacy policy last updated2025-11-06couldn't be read
Customer content may train modelsnot found in the textcouldn't be read
Terms restrict automated accessnot found in the textcouldn't be read
Terms restrict benchmarkingnot found in the textcouldn't be read
Terms or service can change without noticenot found in the textcouldn't be read
Arbitration or class-action waivernot found in the textcouldn't be read
Popularity677 stars, 5.3k npm/wk43k stars, 476k PyPI/wk

Verdicts

AgentOS

A TypeScript agent framework with typed tools, six multi-agent strategies, checkpointed graphs, approval gates and no telemetry of its own. It is at 0.12.12 after 98 releases in 90 days, two of them breaking on 7 October 2026. No MCP client was found in the package, and code tools an agent writes run in an in-process node:vm context.

Agno

An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.

Before you call either

AgentOS

  1. Pin an exact version of @framers/agentos. Feature commits ship as patch releases while it is 0.x, and breaking changes ship as minors
  2. Leave emergentConfig.allowSandboxTools off unless forged code runs through an executor that isolates. The default executor shares the host process
  3. Pass your own ICheckpointStore to compile() for runs that must survive a restart. The default store is in memory
  4. Set hitl.approvals.beforeTool for tools that write, and choose a handler. No approval gate is on by default
  5. Use Node 22 or newer, and set a provider key such as OPENAI_API_KEY or ANTHROPIC_API_KEY. The provider is detected from the environment

Agno

  1. Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable
  2. Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential
  3. Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved
  4. Set tool_call_limit on agents. The default is None
  5. Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server

Questions

Which is better for AI agents, AgentOS or Agno?

AgentOS scores 75.3 (BB) on agent readiness against Agno's 72.8 (BB), and leads in 4 of 7 scored categories. Agno leads on reliability and transparency & trust.

Are AgentOS and Agno open source?

Yes. AgentOS is open source (Apache-2.0). Agno is open source (Apache-2.0).

Other comparisons with AgentOS or Agno

Machine-readable

For companies

Do agents find, use and choose your tools?

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