Any Agent is live · free · last verified 25 Oct 2026 · viability monitor
Any Agent
any-agent: one Python interface for building AI agents across seven frameworks
If you're mid framework bake-off, any-agent removes the cost of guessing wrong: swap engines with one parameter and keep identical OpenTelemetry traces plus the same judge-based eval harness. The catch is that it's an experimentation and evaluation layer, not a deep-tuning layer — once you've picked a winner you'll still go into that framework's internals for the last mile. For Python teams, it's the cheapest insurance against lock-in we've seen.
Verdict generatedVerified 5d ago · liveness 66/100 · cite: rightaichoice.com/tools/any-agent
- Python devs running a framework bake-off across Agno, ADK, LangChain or LlamaIndex before committing
- Teams that need identical OpenTelemetry traces regardless of which agent engine is underneath
- Researchers scoring agent runs with LLM-as-a-judge or agent-as-a-judge instead of building a scorer
- Engineers exposing agents over A2A or MCP, or nesting one agent as a tool inside another
- Non-programmers who want a graphical agent builder or drag-and-drop canvas
- Teams wanting a hosted monitoring dashboard rather than traces in their own observability stack
- Production systems already tuned deep into one framework's internals
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Skip any-agent if you're fully committed to one framework and tuning deep into its internals, or if you want a graphical agent builder rather than a Python library.
Any-agent is an Apache 2.0 open-source library you install with pip, so there's no licence cost. The real cost is engineering time: every additional engine you swap in needs its own framework extras installed and its own dependency weight. Compare that against committing to a single framework-native SDK, which is cheaper to run but locks the choice in.
In short
Any Agent — any-agent: one Python interface for building AI agents across seven frameworks. Best for Python devs running a framework bake-off across Agno, ADK, LangChain or LlamaIndex before committing, Teams that need identical OpenTelemetry traces regardless of which agent engine is underneath, Researchers scoring agent runs with LLM-as-a-judge or agent-as-a-judge instead of building a scorer. Free to use.
What is Any Agent?
Any Agent — any-agent: one Python interface for building AI agents across seven frameworks. Best for Python devs running a framework bake-off across Agno, ADK, LangChain or LlamaIndex before committing, Teams that need identical OpenTelemetry traces regardless of which agent engine is underneath, Researchers scoring agent runs with LLM-as-a-judge or agent-as-a-judge instead of building a scorer. Free to use.
any-agent is Mozilla.ai's open-source Python library for building agents that aren't welded to a single framework. You write the agent definition once and flip between Agno, Google ADK, LangChain, LlamaIndex, OpenAI, smolagents and TinyAgent by changing one parameter. That matters most at the start of a project, before you know which framework's abstractions will actually fit your use case. The library also covers the parts people usually hand-roll afterward. Tracing is standardized on OpenTelemetry across every supported engine, so traces look the same whether you're debugging one agent or a fleet. Evaluation ships in the box with LLM-as-a-judge and agent-as-a-judge scorers you can point at your own runs. Callbacks give you a hook for instrumentation, and serving speaks A2A and MCP, which means an agent built here can be exposed to other systems or nested as a tool inside a larger workflow. Installation is `pip install any-agent` for the bare library (TinyAgent only) or with extras like `pip install any-agent[agno,openai]`. Python 3.11 or newer is required. The project is Apache 2.0 licensed, and the docs are published as llms.txt and llms-full.txt for LLM consumption alongside a cookbook covering your first agent, evaluation, callbacks, an MCP agent and A2A serving. Compared with committing straight to LangChain or Google ADK, any-agent deliberately stays one layer above the framework choice: build, trace and evaluate the same agent across engines, then commit once you have evidence instead of vibes.
Key features
- Switch agent frameworks with a single parameter change
- Supports Agno, Google ADK, LangChain, LlamaIndex, OpenAI, smolagents and TinyAgent
- Standardized OpenTelemetry tracing across all supported frameworks
- LLM-as-a-judge evaluation for scoring agent runs
- Agent-as-a-judge evaluation for multi-step agent assessment
- Callbacks hook for agent instrumentation
- Serve agents over the A2A protocol
- Serve agents over the MCP protocol
- Compose an agent as a tool inside another A2A agent
- Install with pip plus framework extras, e.g. any-agent[agno,openai]
- Bare install ships TinyAgent only
- Requires Python 3.11 or newer
- Apache 2.0 open-source license
- AI-friendly docs published as llms.txt and llms-full.txt
- Cookbook covering evaluation, MCP agents and A2A serving
Behind the verdict
Most framework decisions get made on a Tuesday afternoon after reading two blog posts, and then you live with them for a year. any-agent is aimed squarely at that moment. Being able to define the agent once and re-run it under Agno, ADK, LangChain or LlamaIndex makes the comparison an actual experiment rather than a vibe check. The tracing story is the part we'd lean on hardest. Standardized OpenTelemetry across engines means your observability setup doesn't get thrown out when the framework does, and the traces are directly comparable across runs. Pair that with the built-in LLM-as-a-judge and agent-as-a-judge scorers and you have a bake-off pipeline without writing glue code. Pick it when you're prototyping, when a stakeholder has opinions about frameworks, or when you need to serve an agent over A2A or MCP and want the transport handled. We'd also reach for it in research settings where swapping the underlying engine mid-study shouldn't mean rewriting the harness. Pass when you're already deep in one framework's internals and tuned around its specific memory or tool abstractions — the abstraction here will feel like a ceiling. Also pass if you want a visual agent builder; this is a Python library and assumes you're comfortable in code. Nothing here replaces a proper APM dashboard either, so bring your own observability backend. Where it bites: the bare install only ships TinyAgent, so framework support arrives through extras and you'll be managing dependency sets. And the abstraction layer means newer framework-specific features may land upstream before they surface here. That's the tradeoff for portability. The closest alternative is picking a framework and living with it. any-agent's argument is that you shouldn't have to until you have data.
Limitations
- Requires Python 3.11 or newer.
- The bare `pip install any-agent` gives you TinyAgent only — Agno, Google ADK, LangChain, LlamaIndex, OpenAI and smolagents each require their optional extras.
- Documentation is still maturing, and some cookbook examples assume you already know your way around multiple frameworks.
- Framework-native SDKs still lead on deep tuning, framework-specific features and production edge cases, so any-agent is better treated as the experimentation and evaluation layer than the final production tuning layer.
as of 2026-10-08
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Is Any Agent still active?
Any Agent is live · free · last verified 25 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Any Agent? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Any Agent?
What people actually say about Any Agent — is it worth it?
Our community sentiment research written Jul 5, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Any Agent— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Any Agent 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, who it suits, pricing tiers, description, features, summary, who should skip it
- — changed pricing page
- — changed our verdict, description, summary, pricing tiers, features
- — changed pricing page
- — changed switching out, our verdict, use cases, pricing fit, who should skip it, switching in, hidden costs, features, limitations, setup time, who it suits, summary, description
- — changed who should skip it, who it suits, description, summary, our verdict, features, integrations, pricing tiers
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Any Agent cost in 2026?
Any Agent: Free to use. Pricing last verified 25 Oct 2026.
Plans compared
Every published Any Agent tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source | Free | — | Python developers and research teams who want framework portability and built-in evaluation without a licence fee.Adds: Starting tier — Apache 2.0 Python library, no cost; bare install covers TinyAgent only, other engines come via pip extras. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Any Agent's pricing actually pencils out — and where peers do it cheaper.
Any-agent is an Apache 2.0 open-source library you install with pip, so there's no licence cost. The real cost is engineering time: every additional engine you swap in needs its own framework extras installed and its own dependency weight. Compare that against committing to a single framework-native SDK, which is cheaper to run but locks the choice in.
Has Any Agent's pricing changed?
No plan price for Any Agent has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Any Agent?
Pick Any Agent if you are Python devs running a framework bake-off across Agno, ADK, LangChain or LlamaIndex before committing, Teams that need identical OpenTelemetry traces regardless of which agent engine is underneath, Researchers scoring agent runs with LLM-as-a-judge or agent-as-a-judge instead of building a scorer, Engineers exposing agents over A2A or MCP, or nesting one agent as a tool inside another.
Look elsewhere if you are Non-programmers who want a graphical agent builder or drag-and-drop canvas, Teams wanting a hosted monitoring dashboard rather than traces in their own observability stack, Production systems already tuned deep into one framework's internals, Anyone on Python below 3.11.
Skip it if Skip any-agent if you're fully committed to one framework and tuning deep into its internals, or if you want a graphical agent builder rather than a Python library.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Any Agent actually fits — and what changes day-one when you adopt it.
You want to compare Agno, LangChain and Google ADK on the same task without maintaining three codebases. You write the agent once against any-agent and swap the engine with a parameter change between runs.
Outcome: Identical OpenTelemetry traces from each engine give you an apples-to-apples read on latency and behaviour, so the framework decision is made on evidence rather than vibes.
You have runs from two frameworks and need a quality signal without building a scoring pipeline. You point the built-in LLM-as-a-judge and agent-as-a-judge scorers at your own runs.
Outcome: Judged scores land alongside the traces, so you can compare frameworks on output quality, not just on whether they executed.
You need one agent reachable from other systems and reusable as a tool inside a bigger workflow. You serve it over A2A or MCP with the built-in support.
Outcome: The agent is exposed to existing MCP clients and can be composed as a tool for another agent, including one built on a different framework.
Use cases
- Build a prototype agent that can switch between LangChain and LlamaIndex with one code change.
- Evaluate response quality from agents built on different frameworks using a judge LLM.
- Serve a TinyAgent over MCP to plug into existing MCP clients.
- Compose an OpenAI-built agent as a tool for a Google ADK agent via A2A.
- Trace agent execution across framework boundaries for debugging and observability.
- Prototype a multi-agent system using A2A to connect agents from different frameworks.
Setup time & first value
How long it actually takes to get something useful out of Any Agent — broken out by persona, not the marketing-page minute.
Python developer on 3.11+: `pip install any-agent` for the bare library (TinyAgent only) or `pip install any-agent[agno,openai]`-style extras for other engines, then follow the Your First Agent cookbook — first agent running in minutes, first framework comparison in an afternoon.
Tutorials & Learning
YouTube returned 6 videos for “Any Agent”, and we withheld 6: 6 did not mention Any Agent. We are showing none, because we could not prove any of them are about Any Agent.
Official links
What are the best Any Agent alternatives?
The closest alternatives to Any Agent we list are OpenAI Agents SDK, TaskWeaver and SmolAgents. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| OpenAI Agents SDK | Free | Free | — |
| TaskWeaver | Free | Free | — |
| SmolAgents | Free | Free | — |
Alternatives to Any Agent
View all
OpenAI Agents SDK
OpenAI Agents SDK: a free MIT-licensed Python framework for building multi-agent workflows with handoffs, guardrails, sandbox agents, and
TaskWeaver
Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.
SmolAgents
Hugging Face's Apache-2.0 Python library for AI agents that write and run their actions as code.
Tools that pair well with Any Agent
Common stack mates teams adopt alongside Any Agent, with the specific reason each pairing earns its keep.
OpenAI Agents SDK
OpenAI Agents SDK: a free MIT-licensed Python framework for building multi-agent workflows with handoffs, guardrails, sandbox agents, and
TaskWeaver
Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.
SmolAgents
Hugging Face's Apache-2.0 Python library for AI agents that write and run their actions as code.
Any Agent vs its closest rival
Any Agent's closest head-to-head is with Spider Cloud — Any Agent and Spider Cloud serve entirely different needs: Any Agent is a free, open-source library for building and evaluating agents across multiple frameworks, while Spider Cloud is a pay-as-you-go web scraping API optimized for AI data ingestion. If you need to prototype or compare agent frameworks without vendor lock-in, choose Any Agent. If you require fast, low-cost web data for RAG or LLM context, go with Spider Cloud. Verdict generated
Head-to-head comparisons
Any Agent vs Spider Cloud
Any Agent and Spider Cloud serve entirely different needs: Any Agent is a free, open-source library for building and evaluating agents across multiple frameworks, while Spider Cloud is a pay-as-you-go web scraping API optimized for AI data ingestion. If you need to prototype or compare agent frameworks without vendor lock-in, choose Any Agent. If you require fast, low-cost web data for RAG or LLM context, go with Spider Cloud.
GeneratedAny Agent vs Temporal Ai
Choose Temporal AI if your priority is reliability and durability in production AI agents that must survive crashes and retries—especially with human-in-the-loop workflows. Choose Any Agent if you are prototyping or comparing multiple agent frameworks and need a unified evaluation interface without vendor lock-in. For mission-critical orchestration, Temporal wins; for fast experimentation, Any Agent is ideal.
GeneratedAny Agent vs Presto Voice
Presto Voice is the only choice if you're a QSR chain needing proven drive-thru automation and upselling — recent partnerships with Dairy Queen confirm enterprise traction. Any Agent is for developers who want a free, flexible way to prototype and compare agent frameworks without lock-in. They solve completely different problems: restaurant operations vs. AI agent development.
GeneratedFrequently asked questions
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