Haystack
deepset's composable open-source framework for RAG and agent pipelines.
High-performance Python framework for building multi-agent systems and AgentOS
Agno (formerly Phidata) is a performance-focused Python framework for multi-agent systems, bundled with AgentOS for running, tracing, and evaluating agents, with a free local runtime and flat-rate paid plans.
Agno is a Python-first framework for building agents and multi-agent teams, emphasizing performance and a batteries-included developer experience. It bundles model-agnostic agent construction with tools, knowledge (RAG), memory, and evaluation, and pairs the framework with AgentOS, a control plane where agents run and can be observed. Developers can run the entire local control plane, including chat, traces, sessions, knowledge, memory, and evals, for free on their own machine. Agno's commercial model is deliberately simple: the Pro plan starts at a flat monthly rate including several team seats and one live connection, with additional connections and seats priced per unit and no per-event, token, or egress fees. Enterprise adds self-hosting of the control plane, SAML SSO, an SLA, and a dedicated technical lead. This makes Agno attractive to teams that want predictable costs and a clear path from local development to production agent operations.
Agno is a Python multi-agent framework with an AgentOS control plane, offering a free local runtime and flat, no-token-fee paid plans starting at $150/month.
Agno, formerly Phidata, builds developer tooling for multi-agent systems in Python. The company pairs an open framework with AgentOS, a commercial control plane for operating and observing agents.
Agno positions itself on performance and simplicity, with transparent flat pricing that contrasts with usage-metered competitors.
Agno lets developers build model-agnostic agents with tools, knowledge, memory, and evals, then compose them into teams. AgentOS provides chat, traces, sessions, and evaluation, runnable locally for free.
Paid tiers add hosted live connections and team seats, while Enterprise enables self-hosting the control plane with SSO, an SLA, and a dedicated technical lead.
Python engineering teams building agentic applications who want an integrated framework plus observability with predictable pricing.
Python developers building agents and multi-agent teams.
Engineering managers seeking predictable agent-ops costs.
AI platform engineers and framework evaluators.
Python-centric teams shipping multi-agent systems that value flat pricing and built-in observability.
Venture-backed; funding details should be verified with the vendor.
Yes. Agno is the rebranded successor to Phidata, keeping the Python-first framework focus while adding AgentOS.
AgentOS is Agno's control plane for running agents and providing chat, traces, sessions, knowledge, memory, and evaluations.
You can run the full local control plane for free on your own machine; paid plans add hosted live connections and team seats.
No. Agno's pricing is flat with no per-event, token, or egress fees; you pay for seats and connections.
Yes. The Enterprise plan supports self-hosting the control plane along with SAML SSO, an SLA, and a dedicated technical lead.
Side-by-side pages for pricing, features, and best-fit use cases.
deepset's composable open-source framework for RAG and agent pipelines.
The TypeScript framework for building AI agents and workflows.
Microsoft's multi-agent conversation framework (now in maintenance mode).
Graph-based orchestration for stateful, controllable LLM agents.