{"id":"agno-agi-agno","name":"agno","homepage":"https://docs.agno.com","repo_url":"https://github.com/agno-agi/agno","category":"ai-ml","subcategories":[],"tags":["agents","agentic-ai","runtime","fastapi","mcp","python","observability","tool-integrations"],"what_it_does":"Agno is a Python runtime/framework for building, running, and managing agentic software at scale. It provides an agent framework with tools and integrations (including MCP tools), a production runtime using a stateless, session-scoped FastAPI backend, and a control plane/UI (AgentOS) for testing, monitoring, and management.","use_cases":["Building tool-using AI agents with memory/knowledge and guardrails","Serving agents as production APIs via FastAPI","Managing multi-agent workflows and teams with tracing/auditability","Connecting agent tool usage via MCP integrations","Using a UI/control plane for monitoring and testing agents"],"not_for":["Highly regulated environments that require strict, documented enterprise security/compliance guarantees (not evidenced in provided content)","Teams needing a managed SaaS-only solution (Agno is described as running in your infrastructure)"],"best_when":"You want to host agentic services yourself (FastAPI-based), with session isolation, tracing, and optional MCP-based tool connectivity.","avoid_when":"You cannot provide/secure required model credentials (e.g., provider API keys) or need a turnkey hosted service with defined SLAs and formal compliance documentation.","alternatives":["LangChain/LangGraph","LlamaIndex (agent tooling)","Microsoft Semantic Kernel","custom FastAPI + agent/orchestration libraries","DSPy / similar agent frameworks (depending on requirements)"],"af_score":48.5,"security_score":49.5,"reliability_score":20.0,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T12:59:25.834913+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":"https://docs.agno.com/mcp","has_sdk":true,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Environment variables for model provider API keys (e.g., ANTHROPIC_API_KEY)"],"oauth":false,"scopes":false,"notes":"The README shows provider credentials supplied via environment variables. It does not document authentication/authorization for the agent runtime API itself (e.g., API keys/OAuth for calling the FastAPI endpoints)."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information is provided in the supplied content; costs depend on underlying model providers and deployment."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":48.5,"security_score":49.5,"reliability_score":20.0,"mcp_server_quality":60.0,"documentation_accuracy":80.0,"error_message_quality":null,"error_message_notes":null,"auth_complexity":50.0,"rate_limit_clarity":0.0,"tls_enforcement":60.0,"auth_strength":40.0,"scope_granularity":30.0,"dependency_hygiene":50.0,"secret_handling":70.0,"security_notes":"Provided content mentions running in your infrastructure and environment-variable based model keys; it does not describe authentication/authorization for the FastAPI service, rate limiting, TLS requirements, or detailed security/compliance controls. Telemetry can be disabled via AGNO_TELEMETRY=false. Overall security posture for an agent API is not fully evidenced from the supplied README.","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":0.0,"error_recovery":40.0,"idempotency_support":null,"idempotency_notes":null,"pagination_style":null,"retry_guidance_documented":null,"known_agent_gotchas":["Tool connectivity via MCP requires network access and correct MCP URL/config; failures may surface as tool/runtime errors (not detailed in provided content).","Agents are probabilistic; governance/approval workflows and guardrails are described at a high level, but exact failure modes for approvals/interruptions are not detailed here."]}}