Agno Alternative: Security-First Multi-Agent Platform

Agno (formerly Phidata, rebranded 2025) is an open-source Python framework for building multi-modal agents with 40,678 GitHub stars, 5,520 forks, and 917 open issues as of June 2026. It ships a batteries-included approach with built-in storage, memory, knowledge retrieval, and a web UI (Agno Playground). Three security patches in 13 days (May 6-19 2026) - covering IDOR in MCP tools, WebSocket JWT binding, and path traversal - signal a reactive patching pattern that OpenLegion's vault-first, container-isolated architecture avoids by design.

OpenLegion is a security-first AI agent platform with mandatory Docker container isolation, vault proxy credential management, per-agent budget enforcement, and fleet-model coordination (blackboard + pub/sub + handoff).

What is Agno?

Agno (formerly Phidata) is an open-source Python framework for building multi-modal, memory-aware AI agents and agent teams, providing built-in storage backends (PostgreSQL, SQLite, Redis), knowledge retrieval, structured outputs, and an interactive Playground web UI for testing agents locally or in the cloud.

TL;DR

Dimension	OpenLegion	Agno
Primary focus	Production security infrastructure	Batteries-included agent building
Architecture	Four-zone trust model, Docker container per agent	Single Python process, optional Playground UI
Agent isolation	Docker container per agent, non-root, no-new-privileges	Shared Python process; no container isolation
Credential security	Vault proxy - agents never see API keys	Environment variables accessible to all agents
Budget controls	Per-agent daily/monthly hard cutoff	None built-in
Orchestration	Fleet-model coordination - blackboard + pub/sub + handoff	Agent Teams with Coordinate/Route/Collaborate modes
Multi-modal	Text + tool calls	Text, image, audio, video inputs
Known CVEs	0	CVE-2025-64168 (CVSS 7.1); 3 patches May 2026
Security patch cadence	N/A	3 fixes in 13 days (May 6-19 2026)
License	BSL 1.1	Apache License 2.0
GitHub stars	~59	~40,678
Formerly known as	-	Phidata (rebranded to Agno in 2025)

Choose Agno if...

You need multi-modal agent inputs out of the box. Agno supports text, image, audio, and video inputs across a wide range of providers. If your use case requires agents that reason over images or audio alongside text, Agno's unified multi-modal API is significantly easier to configure than assembling separate provider calls.

Batteries-included storage and knowledge matter. Agno ships with built-in support for PostgreSQL, SQLite, and Redis as agent storage backends, plus PDF/URL document ingestion, vector store integrations (pgvector, Qdrant, LanceDB, Pinecone), and a knowledge retrieval layer. Teams that want a fully wired agent memory system without building each piece reach production faster.

You want a visual Playground UI. Agno ships a web-based Playground for interacting with agents, inspecting memories, and browsing knowledge stores. For teams that want rapid visual feedback during development without instrumenting a separate observability tool, this reduces iteration time considerably.

Multi-modal agent teams matter. Agno's Team abstraction supports Coordinate mode (router delegates to specialists), Route mode (LLM-driven routing), and Collaborate mode (agents respond in sequence). This flexibility maps well to pipelines where different agents handle different content types.

The Apache License 2.0 fits your project. Apache 2.0 allows proprietary products to use Agno as a dependency without sharing modifications, and includes an express patent grant. This is more permissive than OpenLegion's BSL 1.1 for embedding in commercial products.

Choose OpenLegion if...

Your agents handle credentials. Agno stores API keys in environment variables or configuration dictionaries accessible within the shared Python process. Every agent in an Agno team shares that process - a prompt injection that causes one agent to print its environment can expose credentials used by all agents. OpenLegion's vault proxy keeps credentials in Zone 2 (Mesh Host) and injects them at the network layer; agents never hold keys in any form.

Three CVEs and patches in six months concern you. CVE-2025-64168 (CVSS 7.1, October 2025) exposed one user's session state data to another under async concurrency. Three separate security fixes shipped in 13 days (May 6-19 2026) - IDOR in MCP tool routing, IDOR in WebSocket JWT binding, and path traversal hardening across FileGenerationTools, SlackTools, and FileTools. Fast patching is better than no patching, but the pattern reflects fixes to issues that OpenLegion's architecture prevents at the design level.

Multi-tenant isolation is a hard requirement. The v2.6.5 and v2.6.6 IDOR vulnerabilities both involved requests accessing resources belonging to a different JWT subject. In a single-process shared model, one missing authorization check creates cross-tenant data exposure. OpenLegion's container-per-agent model scopes each agent to its own filesystem and network namespace - there is no shared state for a binding error to cross.

Cost control is non-negotiable. Agno has no built-in budget enforcement. An agent that enters a reasoning loop or is manipulated into repeated tool calls will burn API tokens with no automatic ceiling. OpenLegion enforces per-agent daily and monthly budgets with hard cutoffs at the orchestrator level.

You need auditable, deterministic workflows. Agno's Route mode uses LLM-driven delegation at runtime - the execution path is determined by the model, not your code. OpenLegion's fleet-model coordination defines execution order, tool permissions, and agent dependencies before any agent runs - the full flow is inspectable before execution.

Zero telemetry is required. Agno collects anonymous usage telemetry by default. OpenLegion collects zero telemetry.

OpenLegion's Take

Agno is a well-engineered framework for teams that want maximum feature breadth - multi-modal inputs, rich storage backends, visual Playground, and flexible team coordination - and are willing to manage security as a separate concern. For a prototype or an internal tool with a low threat model, Agno's batteries-included approach is genuinely compelling.

The security track record warrants scrutiny before production deployment. CVE-2025-64168 (CVSS 7.1, CWE-362 race condition + CWE-668 exposure of resources to wrong sphere) exposed session state cross-user under async concurrency - a class of vulnerability that only surfaces under production load. The three May 2026 patches each touched authentication and authorization boundaries inside a two-week window: IDOR in MCP tool routing (v2.6.5, May 6), IDOR in WebSocket JWT binding (v2.6.6, May 14), path traversal hardening in FileGenerationTools/SlackTools/FileTools (v2.6.8, May 19). Fast patching is better than slow patching, but it reflects reactive fixes to issues OpenLegion's architecture prevents by design.

Container isolation means there is no shared mutable state for a race condition to expose across users. Vault proxy means credentials have no presence in the agent process for an IDOR to reach. Framework-level path safety added from the start - not post-incident - means path traversal cannot occur regardless of which tool a developer uses. The tradeoff is real: Agno has 40,678 stars, a richer feature surface, and a larger community. For teams where security is a compliance requirement rather than a nice-to-have, OpenLegion provides the architectural guarantees; Agno provides the ecosystem.

Security Model Comparison

Credential management

Agno passes API keys via environment variables or configuration dictionaries. The agent process reads them directly; all agents in a team share the same Python process and have access to the same environment. There is no vault abstraction or blind injection proxy in the open-source tier.

OpenLegion stores credentials in the Mesh Host Credential Vault (Zone 2). When an agent needs to call an external API, the request routes through the vault proxy, which injects the credential at the network layer. The agent never holds or sees the raw key. Even arbitrary code execution inside the agent container cannot extract credentials because none are present.

Session isolation and CVE-2025-64168

CVE-2025-64168 (CVSS 7.1 HIGH, published October 31 2025, patched in Agno 2.2.2) disclosed a race condition in the session_state management layer. Under high async concurrency, one user's session data could be exposed to a different user's request context. The root causes - CWE-362 (race condition) and CWE-668 (exposure of resource to wrong sphere) - affect any system where concurrent users share a single process with shared mutable state, which is the standard Agno architecture.

OpenLegion avoids this class of vulnerability by design: each agent runs in an isolated Docker container with its own filesystem and network namespace. There is no shared mutable state between concurrent user sessions because each session's agent runs in its own container.

IDOR vulnerabilities (May 2026)

v2.6.5 (May 6 2026): An IDOR vulnerability in Agno's MCP tool routing failed to bind user_id to the JWT subject on tool requests. A request authenticated as User A could read or write MCP tool resources belonging to User B. Patched by binding tool routing to the authenticated JWT subject.

v2.6.6 (May 14 2026): A second IDOR on the WebSocket router (traces and approvals endpoints) similarly failed to validate that the requesting JWT subject matched the user_id on the request. Cross-tenant access to approval and trace data was possible. Patched in v2.6.6.

Both IDORs affect multi-tenant deployments where multiple users share an Agno instance. OpenLegion's container-per-agent model means agent resources are scoped to individual containers - there is no shared state for a missing authorization check to cross.

Path traversal hardening (May 2026)

v2.6.8 (May 19 2026): Agno added a centralized path_safety module to FileGenerationTools, SlackTools, and FileTools, addressing path traversal, symlink escape, Windows MagicDot attack vectors, and Unicode normalization issues. This fix was introduced as a reactive hardening patch - the underlying tools previously lacked centralized path validation.

OpenLegion agents run in Docker containers with their own isolated /data volume and a read-only root filesystem. Path traversal in a tool call cannot escape the container's filesystem boundary. The blast radius of a path traversal exploit is contained to that container's /data volume, with no access to the host system or other containers.

Budget controls

Agno has no built-in budget enforcement. Agent teams that enter reasoning loops, make excessive tool calls, or are manipulated via prompt injection will consume API tokens without a ceiling.

OpenLegion enforces per-agent daily and monthly budget limits with automatic hard cutoff at the orchestrator level. When an agent reaches its limit, it is halted. The rest of the workflow continues or pauses gracefully.

Agno's Strengths: What It Does Well

Multi-modal agent inputs

Agno's unified API handles text, image, audio, and video inputs across providers including OpenAI, Anthropic, Google, AWS Bedrock, Cohere, and Mistral. Building a pipeline that routes different content types to appropriate models requires minimal configuration. This is Agno's strongest technical differentiator - no comparable framework handles multi-modal inputs with equivalent ease.

Rich storage and knowledge layer

Agno ships integrations for PostgreSQL, SQLite, Redis, and MongoDB as agent storage backends. The knowledge layer supports PDF documents, web URLs, CSV files, and direct text with chunking and embedding. Vector store integrations include pgvector, Qdrant, LanceDB, Chroma, and Pinecone. For teams building retrieval-augmented agents, this is a complete toolkit that avoids reinventing common infrastructure.

Agno Playground

The web-based Playground provides a chat interface for testing agents, a sessions panel for inspecting memory across conversations, and a knowledge browser for viewing indexed documents. For teams that iterate frequently on agent behavior, the visual interface reduces friction compared to scripting test interactions.

Agent Teams: Coordinate, Route, Collaborate

Agno's Team abstraction supports three coordination modes. Coordinate mode uses the team leader to delegate tasks to specialist agents with explicit routing logic. Route mode uses the LLM to determine which member agent to call for a given input. Collaborate mode sends the input to all team members sequentially, combining their responses. This flexibility accommodates diverse pipeline architectures without requiring custom orchestration code.

Known production pitfalls

Reactive security patching under production load. CVE-2025-64168 only manifests under high async concurrency - it is unlikely to surface in development or low-traffic tests. Teams running Agno in multi-tenant production environments should treat each async-path code change carefully and monitor for similar CWE-362 patterns in future releases.

IDOR surface in multi-tenant deployments. The May 2026 IDOR fixes (v2.6.5 and v2.6.6) both involved missing JWT-to-resource binding. Any new routing path or API endpoint in Agno should be reviewed for equivalent authorization binding before multi-tenant production deployment.

No credential isolation architecture. Environment variable credentials are readable by all code in the process. In a multi-agent team, prompt injection of any one agent can potentially expose credentials used by the full team. This is a design property - patching individual vulnerabilities does not change the underlying credential exposure model.

LLM-driven routing is non-deterministic. Agno's Route mode delegates routing decisions to the LLM at runtime. The execution path cannot be predicted before the request is made. For compliance environments that require auditable, deterministic workflows, this requires additional instrumentation not built into the framework.

Hosting and Deployment

Agno is self-hosted via pip install with PostgreSQL, SQLite, or Redis backends. The Agno Cloud offering hosts agents with the Playground UI included. The framework runs without Docker - agents share the host Python process. For container-based deployments, developers provision their own containers around the Agno process.

OpenLegion requires Python, SQLite, and Docker. The self-hosted option (BSL 1.1) includes all security features. The hosted platform offers per-user VPS instances with BYO API keys. Security features - vault proxy, container isolation, per-agent budgets - are available in both deployment modes, not gated behind a paid tier.

Who It's For

Agno is for developers and teams who want maximum feature breadth with minimal setup: multi-modal inputs, built-in RAG, visual Playground, and flexible team coordination modes. The ideal Agno user is building a feature-rich agent application where the primary constraints are capability coverage and development speed, and where security is a later concern handled by the deployment environment.

OpenLegion is for engineering teams deploying agents where credential security, multi-tenant isolation, cost control, and telemetry transparency are non-negotiable from day one. The ideal OpenLegion user needs security built into the framework rather than retrofitted at the infrastructure layer, and must demonstrate to stakeholders that agents cannot access credentials, exceed budgets, or expose one user's data to another.

The Honest Trade-off

Agno has 40,678 GitHub stars, multi-modal inputs, a rich storage layer, and a batteries-included developer experience. For teams prototyping fast or building products where the deployment environment handles security concerns separately, Agno's feature breadth is compelling.

OpenLegion has 59 GitHub stars, mandatory Docker container isolation, vault proxy credentials, per-agent budget enforcement, and zero telemetry. These security properties are architectural - they cannot be toggled off or bypassed by a misconfigured environment variable. For teams that need to prove to a compliance auditor or security team that agents cannot leak credentials, cross user boundaries, or run up unlimited costs, OpenLegion provides guarantees that Agno does not.

The CVE-2025-64168 and the three May 2026 patches are not disqualifying - every actively maintained framework ships security patches. The pattern matters: all four issues involve shared-state authorization boundaries (session state, JWT-to-resource binding, path safety) that OpenLegion eliminates through container isolation and vault proxy. Different architectural choices, different risk surfaces.

For the full security threat model for AI agents, see the AI agent security guide. To compare across all major frameworks, see the AI agent frameworks comparison.

Frequently Asked Questions

What is Agno and how does it differ from OpenLegion?

Agno (formerly Phidata, rebranded 2025) is an open-source Python framework for building multi-modal AI agents with built-in storage backends, knowledge retrieval, and a web-based Playground UI. It has 40,678 GitHub stars and supports text, image, audio, and video inputs. OpenLegion is a security-first AI agent platform with mandatory Docker container isolation, vault proxy credential management where agents never see API keys, per-agent budget enforcement, and fleet-model coordination. Agno prioritizes feature breadth and developer speed; OpenLegion prioritizes production security and compliance.

What security vulnerabilities has Agno had?

Agno (formerly Phidata) disclosed CVE-2025-64168 (CVSS 7.1 HIGH, October 31 2025) - a race condition in session_state under high async concurrency that could expose one user's data to another, patched in v2.2.2. In May 2026, three additional fixes shipped in 13 days: an IDOR in MCP tool routing where user_id was not bound to the JWT subject (v2.6.5, May 6), a second IDOR on WebSocket traces and approvals endpoints (v2.6.6, May 14), and path traversal hardening across FileGenerationTools, SlackTools, and FileTools via a centralized path_safety module (v2.6.8, May 19).

Is Agno safe for multi-tenant production deployments?

Agno's shared-process architecture means multiple concurrent users share the same Python process and mutable state. CVE-2025-64168 and the May 2026 IDOR fixes both demonstrate that authorization boundary errors in this architecture can expose one tenant's data to another. Agno patches these issues reactively; OpenLegion's container-per-agent model eliminates the shared-state surface where such errors occur, because each agent runs in an isolated Docker container with its own filesystem and network namespace.

How does Agno handle API key security?

Agno stores API keys in environment variables or configuration dictionaries accessible to the full agent process. All agents in an Agno team share that process, so any agent - including one under prompt injection attack - has access to all credentials. OpenLegion uses a vault proxy: API keys are stored in the Mesh Host's Credential Vault and injected at the network layer when an agent makes an authenticated call. Agents never see, log, or hold raw keys in any form.

Does Agno have budget controls for API usage?

No. Agno has no built-in per-agent or per-team budget enforcement. Agent teams that enter reasoning loops, make excessive tool calls, or are manipulated into repeated API calls will consume tokens without an automatic ceiling. OpenLegion enforces per-agent daily and monthly budget limits with hard cutoffs at the orchestrator level - when an agent reaches its limit, it is halted automatically.

What was Phidata and how does it relate to Agno?

Phidata was an open-source Python framework for building AI agents and assistants. The project rebranded to Agno in 2025. The codebase, architecture, and community are continuous - Agno is Phidata under a new name, with ongoing active development. The CVE history (including CVE-2025-64168) applies to the Agno/Phidata codebase throughout its history.

When should I choose Agno over OpenLegion?

Choose Agno when your primary requirements are multi-modal agent inputs (text, image, audio, video), batteries-included storage and knowledge retrieval (PostgreSQL, Qdrant, Pinecone, pgvector), a visual Playground UI for development, and flexible agent team coordination (Coordinate, Route, Collaborate modes). Agno's Apache 2.0 license is also more permissive for embedding in commercial products. Choose OpenLegion when credential security, multi-tenant isolation, cost enforcement, or auditability are compliance requirements from day one.

Can I migrate from Agno to OpenLegion?

Both frameworks use LiteLLM under the hood, so LLM provider configurations transfer directly. Agno's storage backends (PostgreSQL, SQLite, Redis) require rebuilding as OpenLegion per-agent isolated stores. Agno's multi-modal tool integrations need equivalent OpenLegion tool configurations. Agno's Team coordination modes (Coordinate, Route, Collaborate) map to OpenLegion fleet-model coordination with blackboard-based handoffs, sequential or parallel execution patterns. The main trade-off is losing Agno's multi-modal input handling and Playground UI in exchange for built-in security architecture.