{"id":"miromindai-mirothinker","name":"MiroThinker","homepage":"https://miromind.ai/","repo_url":"https://github.com/MiroMindAI/MiroThinker","category":"ai-ml","subcategories":[],"tags":["ai-ml","agent","deep-research","research-agent","tool-use","python"],"what_it_does":"MiroThinker is positioned as a long-horizon, tool-augmented deep research agent family (with multiple parameter sizes) intended for complex research and prediction tasks, with model variants released on Hugging Face and an online demo (dr.miromind.ai).","use_cases":["Deep research workflows requiring multi-step reasoning and tool use","Forecasting/prediction tasks in research settings","Benchmark-driven evaluation of agentic long-context tool use (e.g., BrowseComp, GAIA, FutureX)"],"not_for":["Security-sensitive production deployments without additional verification and hardening","Applications needing a well-defined stable REST/SDK/API contract (not evidenced in provided content)","Use as a drop-in service with guaranteed uptime/SLA (not evidenced)"],"best_when":"You want a research-oriented agent model/implementation and are comfortable integrating it yourself (likely via model hosting/runtime) rather than relying on a formal service API.","avoid_when":"You need a documented, programmatic API with clear auth, rate limits, and structured errors for agent orchestration.","alternatives":["Other open-source research/agent frameworks that provide explicit APIs/SDKs (e.g., LlamaIndex/ LangChain-based agent stacks depending on your tooling needs)","Commercial deep research agents via provider SDKs/APIs (where available) for stronger operational guarantees"],"af_score":29.0,"security_score":10.5,"reliability_score":17.5,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T14:55:57.162451+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":["Python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication method details, token formats, or scope model were provided in the supplied README/metadata content."},"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 online demo or hosted service is not provided in the supplied content. Model hosting costs depend on your inference setup; no official cost breakdown is evidenced here."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":29.0,"security_score":10.5,"reliability_score":17.5,"mcp_server_quality":0.0,"documentation_accuracy":20.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":100.0,"rate_limit_clarity":0.0,"tls_enforcement":0.0,"auth_strength":0.0,"scope_granularity":0.0,"dependency_hygiene":30.0,"secret_handling":30.0,"security_notes":"The provided content does not describe security controls (TLS/auth), secret handling practices, dependency scanning, or threat model. Given the agentic nature (tool use and long-context), risks like prompt injection/tool misuse and data leakage are plausible, but no mitigations were evidenced in the supplied README/metadata.","uptime_documented":0.0,"version_stability":50.0,"breaking_changes_history":0.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Long-horizon, tool-heavy agents may perform many tool calls per task (hundreds), which can amplify latency, cost, and failure propagation if tools are flaky.","No operational guidance (timeouts, retry/backoff, idempotency, tool error semantics) was provided in the supplied content."]}}