{"id":"kyegomez-swarms","name":"swarms","homepage":"https://docs.swarms.world","repo_url":"https://github.com/kyegomez/swarms","category":"ai-ml","subcategories":[],"tags":["agentic-ai","multi-agent","orchestration","python","llm","framework","beta"],"what_it_does":"Swarms is a Python multi-agent/orchestration framework for building “swarm” workflows using LLMs. The README shows usage via a Swarms class that accepts an OpenAI API key and runs a high-level objective through the swarm.","use_cases":["Multi-agent LLM orchestration (planning/coordination)","Agentic workflow prototyping for content/research/customer-support style tasks","Building experimental agent/tool pipelines where agents collaborate","Framework-based development of interactive agent systems (CLI/FASTAPI/Gradio roadmap items)"],"not_for":["Production deployments requiring strict, documented reliability/SLA and mature operational guarantees (based on limited evidence in provided README)","Teams needing a stable, well-documented public REST/GraphQL API contract out of the box","Use cases requiring fine-grained authorization scopes and strong security posture documentation"],"best_when":"You want to experiment with multi-agent coordination patterns in Python and can tolerate a beta/rapidly-evolving codebase.","avoid_when":"You need strict security/compliance guarantees, clear rate-limit semantics, and robust error-handling/idempotency guarantees from the publicly documented interface.","alternatives":["LangGraph","LangChain (agents/tools)","Microsoft AutoGen","CrewAI","OpenAI Assistants/Responses API (managed orchestration)","Temporal + custom agent workers"],"af_score":38.5,"security_score":39.0,"reliability_score":21.2,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T14:57:07.467182+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["OpenAI API key (openai_api_key passed to Swarms)","Environment variable usage implied by README (“Retrieve your API key from the environment”)","Package may depend on provider(s) via litellm (inferred from dependency list)"],"oauth":false,"scopes":false,"notes":"Auth model appears to be provider API keys supplied to the library. No OAuth, no documented scopes, and no clear auth lifecycle/rotation guidance is shown in the provided README."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing for the framework itself is not described in the provided content; costs depend on the underlying LLM provider API usage."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":38.5,"security_score":39.0,"reliability_score":21.2,"mcp_server_quality":35.0,"documentation_accuracy":45.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":85.0,"rate_limit_clarity":0.0,"tls_enforcement":40.0,"auth_strength":55.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":35.0,"security_notes":"The provided materials do not document transport/security controls or secret-handling practices beyond a generic suggestion to use an environment variable. The project depends on networking/agent libraries (e.g., httpx, aiohttp, litellm, pydantic, mcp) but no CVE status, threat model, logging redaction policy, or secure defaults are evidenced in the provided README/manifest.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":30.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Because the interface presented is a library/agent runner (not a request/response REST API), agent retry/idempotency behavior is likely non-deterministic unless explicitly controlled in code.","The README sample hardcodes an API key placeholder; in real usage, ensure keys are not committed to source control.","Roadmap indicates “Fix all errors to working prototype” which suggests incomplete stability for advanced workflows."]}}