{"id":"bytedance-trae-agent","name":"trae-agent","homepage":"https://www.trae.ai/","repo_url":"https://github.com/bytedance/trae-agent","category":"ai-ml","subcategories":[],"tags":["ai-ml","agent","cli","llm","software-engineering","mcp","tooling","docker"],"what_it_does":"Trae Agent (trae-cli) is a Python CLI framework for LLM-based, general-purpose software engineering tasks. It runs an agent loop with a configurable tool ecosystem (e.g., file editing and bash execution), supports multiple LLM providers, can record detailed trajectories for debugging, and optionally integrates MCP servers for additional tool/model context.","use_cases":["Automating software engineering tasks from natural-language instructions (code changes, refactoring, generating docs/tests)","Interactive iterative development via CLI","Debugging and analysis using recorded execution trajectories","Running tasks in isolated environments via Docker mode","Extending agent capabilities by adding tools and/or MCP servers"],"not_for":["Production systems that require a stable, externally hosted API service with SLAs","Environments where arbitrary code execution (bash/Docker) is unacceptable","Use cases requiring fine-grained, purpose-built access control beyond API-key authentication to model providers"],"best_when":"You need a research-friendly, configurable local/CLI agent framework to orchestrate LLM-driven software engineering workflows across one or more model providers.","avoid_when":"You need a standard REST/GraphQL service interface, or you cannot safely permit the agent to modify files and run commands in a working directory/container.","alternatives":["OpenAI Assistants/Responses API (managed agent experience, less customizable tool execution)","LangChain/LangGraph (agent workflows with more direct Python integration)","Autogen (multi-agent orchestration)","Cline/Cursor-like IDE agents (IDE-integrated workflows)","MCP tool servers with a different MCP-compatible agent runner"],"af_score":52.8,"security_score":57.8,"reliability_score":27.5,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T14:03:35.599894+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":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Provider API keys configured via YAML or environment variables (OpenAI, Anthropic, Google Gemini, OpenRouter, Doubao, etc.)","Optional base_url configuration for some providers"],"oauth":false,"scopes":false,"notes":"Authentication is handled via per-provider API keys supplied to the CLI agent configuration; no user-level OAuth flow or documented scoped authorization model is described for the CLI itself."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"The repository itself is MIT-licensed, but actual usage costs depend on whichever LLM provider(s) and models are configured."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":52.8,"security_score":57.8,"reliability_score":27.5,"mcp_server_quality":45.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":80.0,"rate_limit_clarity":20.0,"tls_enforcement":80.0,"auth_strength":55.0,"scope_granularity":30.0,"dependency_hygiene":60.0,"secret_handling":65.0,"security_notes":"Security details beyond provider API keys are not extensively documented in the provided README. The project allows executing bash and optionally running in Docker, which increases the importance of least-privilege for filesystem/container access. TLS enforcement is presumed via HTTPS provider APIs but is not explicitly stated. Dependency hygiene cannot be verified from the provided content; listed dependencies include mcp, SDKs, and other tooling, so CVE/patch cadence should be checked in a real review.","uptime_documented":10.0,"version_stability":40.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Agent tool actions may include file edits and command execution (bash/Docker), which are not inherently idempotent and can produce different results across runs","Configuration priority is stated (CLI args > config > env > defaults), so unexpected provider/model selection can occur if multiple config sources are set","Docker mode requires correct environment/permissions; filesystem mounting and working directory selection may cause confusing failures"]}}