PlanExe

(★ 397)

Create a plan from a description in minutes

파일 탐색기

최종 버전 다운로드 (.zip)

- - ci.yml
  - docs-update.yml
- dependabot.yml
- - test_planitem_model.py
- __init__.py
- AGENTS.md
- is_machai_user.py
- model_credit_history.py
- model_event.py
- model_feedback.py
- model_nonce.py
- model_payment_record.py
- model_planitem.py
- model_token_metrics.py
- model_user_account.py
- model_user_api_key.py
- model_user_provider.py
- model_worker.py
- planexe_db_singleton.py
- README.md
- Dockerfile
- download_backup.py
- railway.md
- railway.toml
- README.md
- Dockerfile
- railway.md
- railway.toml
- server.py
- - anthropic.md
  - lm_studio.md
  - mistral.md
  - ollama.md
  - openrouter.md
- - favicon.png
  - logo.svg
  - planexe-icon1.png
- - planexe-hero-v1-grid-dark.svg
  - planexe-hero-v1-grid-light.svg
- - antigravity.jpg
  - antigravity.md
  - autonomous_agent_guide.md
  - claude.md
  - codex.md
  - cursor.md
  - cursor_settings.jpg
  - inspector.md
  - inspector_step1_docker.webp
  - inspector_step1_local.webp
  - inspector_step1_mcp_planexe_org.webp
  - inspector_step2_docker.webp
  - inspector_step2_local.webp
  - inspector_step2_mcp_planexe_org.webp
  - inspector_step3_docker.webp
  - inspector_step3_local.webp
  - inspector_step3_mcp_planexe_org.jpg
  - inspector_step4_docker.webp
  - inspector_step4_local.webp
  - inspector_step4_mcp_planexe_org.webp
  - inspector_step5_mcp_planexe_org.webp
  - lm_studio.md
  - lm_studio_settings.jpg
  - mcp_client_config.md
  - mcp_details.md
  - mcp_registry.md
  - mcp_setup.md
  - mcp_troubleshooting.md
  - mcp_welcome.md
  - planexe_mcp_interface.md
  - windsurf.md
  - windsurf_mcp_config.jpg
- - 01-agent-smart-routing.md
  - 02-plans-as-LLM-templates.md
  - 03-distributed-plan-execution.md
  - 04-plan-explain-as-API-service.md
  - 05-semantic-plan-search-graph.md
  - 06-adopt-on-the-fly.md
  - 07-elo-ranking.md
  - 101-luigi-resume-enhancements.md
  - 102-pipeline-intelligence-layer.md
  - 103-pipeline-hardening-roadmap-local-model-reliability.md
  - 104-llm-config-thinking-control.md
  - 105-currency-service.md
  - 106-resource-cost-data.md
  - 107-domain-aware-normalizer.md
  - 108-llm-thinking-mode-middleware.md
  - 111-promising-directions.md
  - 112-end-to-end-test-plan.md
  - 114-mcp-interface-feedback-stress-test.md
  - 115-mcp-roadmap.md
  - 116-home-roadmap.md
  - 117-system-prompt-optimizer.md
  - 118-two-pass-pipeline.md
  - 119-lever-pipeline-impl.md
  - 120-agent-spawning-execution.md
  - 121-plan-spawns-agents.md
  - 123-evidence_discipline_anti_handwave_claim_calibration.md
  - 125-planexe-as-reasoning-probe.md
  - 128-compiler-model-quality-metrics-dogfood-execution.md
  - 129-prompt-dentist-pre-pipeline-enrichment.md
  - 130-per-task-sampling-profiles.md
  - 131-codebase-cleanliness-remediation-roadmap.md
  - 132-elo-scoring.md
  - 133-dag-and-rca.md
  - 134-pgres-tuples-ok-connection-corruption.md
  - 135-critical-premises.md
  - 136-good-plans-should-not-die.md
  - 137-section_filtering_for_parameter_extraction.md
  - 138-proposals.md
  - 139-compress-for-monte-carlo.md
  - 140-reflecting-on-planexe.md
  - 141-source-preservation-audit.md
  - 142-how-chatgpt-perceives-planexe.md
  - 15-outcome-feedback-and-model-governance.md
  - 16-on-demand-plugin-synthesis-hub.md
  - 17-plugin-adaptation-lifecycle.md
  - 18-plugin-benchmarking-coverage-harness.md
  - 19-plugin-safety-governance-for-runtime-loading.md
  - 20-plugin-hub-discovery-ranking-and-reuse.md
  - 21-expert-discovery-and-fit-scoring.md
  - 22-multi-stage-verification-workflow.md
  - 23-expert-collaboration-marketplace-and-reputation.md
  - 24-cross-border-project-verification-framework.md
  - 25-verification-incentives-governance-and-liability.md
  - 26-news-intake-and-opportunity-sensing-grid.md
  - 27-multi-angle-topic-verification-engine.md
  - 31-token-counting-and-cost-transparency.md
  - 32-gantt-parallelization-and-fast-tracking.md
  - 33-cost-breakdown-structure-cbs.md
  - 34-finance-top-down-estimation.md
  - 35-finance-bottom-up-estimation-and-reconciliation.md
  - 36-monte-carlo-plan-success-probability-engine.md
  - 37-cashflow-and-funding-stress-monte-carlo.md
  - 38-risk-propagation-network-and-failure-modes.md
  - 39-frontier-research-gap-mapper-for-megaprojects.md
  - 40-three-hypotheses-engine-for-unsolved-challenges.md
  - 41-autonomous-execution-of-plan.md
  - 42-evidence-traceability-ledger.md
  - 43-assumption-drift-monitor.md
  - 44-investor-grade-audit-pack-generator.md
  - 45-counterfactual-scenario-explorer.md
  - 46-execution-readiness-scoring.md
  - 47-openclaw-agent-skill-integration.md
  - 50-agent-to-agent-payment-gateway.md
  - 52-mcp-oauth.md
  - 53-uuid-only-task-id.md
  - 54-agent-safety-trusted-information.md
  - 56-adversarial-red-team-reality-check-for-plans.md
  - 57-banned-words-and-lever-realism-guardrails.md
  - 58-boost-initial-prompt.md
  - 59-prompt-optimizing-with-ab-testing.md
  - 60-plan-to-repo.md
  - 61-post-plan-agent-swarm.md
  - 62-agent-first-frontend-discoverability.md
  - 63-luigi-agent-integration.md
  - 64-post-plan-orchestration-layer.md
  - 65-git-state-machine-enrichment.md
  - 66-post-plan-enrichment-swarm.md
  - 68-domain-aware-plan-ranking-engine.md
  - 69-arcgentica-agent-patterns.md
  - 70-mcp-interface-evaluation-and-roadmap.md
  - 71-strategy-auditor.md
  - 76-x402-a2a-payment-roadmap.md
  - 77-ccusage-real-data-analysis.md
  - 78-planexe-growth-awareness-strategy.md
  - 80-zero-downtime-railway-deployment.md
  - 82-measure-drift-proposal.md
  - 83-measure-drift-specification.md
  - 86-agent-optimized-pipeline.md
  - 88-fermi-sanity-check-validation-gate.md
  - 89-model-routing-postmortem-simon-26feb2026.md
  - 90-complexity-assessment-bubba-haiku.md
  - 91-complexity-assessment-larry-sonnet.md
  - 92-task-complexity-routing.md
  - 94-autoresearch-style-prompt-optimization.md
  - 95-model-routing-ux-modes.md
  - 96-cache-aware-model-handoff.md
  - 97-drift-measurement-pseudocode-impl.md
  - 98-pipeline-benchmark-prompts.md
  - AGENTS.md
  - ensemble-judge-refinement.md
  - parallel-racing-robustness.md
- AGENTS.md
- business_model.md
- costs_and_models.md
- deployment_hosting.md
- docker.md
- docs_style_guide.md
- extract_simple_plan_prompts_as_raw_text.py
- extract_system_prompts_as_jsonl.py
- faq.md
- frontend_multi_user_guide.md
- getting_started.md
- index.md
- install_developer.md
- llm_config.md
- llm_config_alternative.json
- oauth.md
- openclaw-integration.md
- optimizer_roadmap.md
- plan.md
- plan_output_anatomy.md
- prompt_writing_guide.md
- railway.md
- recent_changes.md
- responses-api-llm.md
- safety-findings.md
- start_here.md
- statistics.md
- status.md
- stripe.md
- token_counting.md
- troubleshooting_stuck_pipeline.md
- user_accounts_and_billing.md
- - __init__.py
  - audit_source_preservation.py
  - prepare_extract_input.py
  - README.md
  - run_monte_carlo.py
  - summarize_assessment.py
  - validate_parameters.py
- - README.md
  - run_callback_handlers_on_regular_llm.py
  - run_callback_handlers_on_structured_llm.py
  - run_chat.py
  - run_chat_verbose.py
  - run_create_plan1.py
  - run_create_plan2.py
  - run_extract_many_users.py
  - run_extract_one_user.py
  - run_extract_plan.py
  - run_mockllm.py
  - run_ping_advanced.py
  - run_ping_medium.py
  - run_ping_simple.py
  - run_prompt_caching_demo1.py
  - run_prompt_caching_demo2.py
  - run_pydantic.py
  - run_stream_chat_structured_output1.py
  - run_stream_chat_structured_output2.py
- __init__.py
- README.md
- - admin_routes.py
  - app.py
  - auth.py
  - billing.py
  - config.py
  - downloads.py
  - plan_routes.py
  - planexe_modelviews.py
  - utils.py
  - wsgi.py
- - account.html
  - base.html
  - check_is_working.html
  - index.html
  - login.html
  - models.html
  - ping.html
  - plan_create.html
  - plan_iframe.html
  - plan_list.html
  - plan_resume_from_zip.html
  - run_via_database.html
- - test_plan_failure_trace_helpers.py
  - test_plan_telemetry_helpers.py
- AGENTS.md
- Dockerfile
- pyproject.toml
- pyrightconfig.json
- pyrightconfig.md
- railway.md
- railway.toml
- README.md
- AGENTS.md
- anthropic_claude.json
- baseline.json
- custom.json
- custom_thinking_test.json
- frontier.json
- local.json
- openrouter_responses.json
- premium.json
- README.md
- - __init__.py
  - test_auth_key_parsing.py
  - test_cors_config.py
  - test_download_rate_limit.py
  - test_download_token.py
  - test_http_server_routing.py
  - test_http_utils.py
  - test_model_profiles_tool.py
  - test_plan_create_tool.py
  - test_plan_feedback_tool.py
  - test_plan_file_info_tool.py
  - test_plan_list_tool.py
  - test_plan_resume_tool.py
  - test_plan_retry_tool.py
  - test_plan_status_tool.py
  - test_secret_validation.py
  - test_sse.py
  - test_tool_surface_consistency.py
  - test_worker_fetchers.py
- __init__.py
- AGENTS.md
- app.py
- auth.py
- config.py
- db_queries.py
- db_setup.py
- Dockerfile
- dotenv_utils.py
- download_tokens.py
- example_prompts.py
- handlers.py
- http_server.py
- http_utils.py
- middleware.py
- model_profiles.py
- railway.md
- railway.toml
- README.md
- requirements.txt
- route_registration.py
- schemas.py
- server.json
- server_boot.py
- sse.py
- tool_http_bridge.py
- tool_models.py
- worker_fetchers.py
- zip_utils.py
- lmstudio-planexe.json
- README.md
- AGENTS.md
- llms.txt
- robots.txt
- __init__.py
- __main__.py
- AGENTS.md
- README.md
- runner.py
- - SKILL.md
- AGENTS.md
- cleanup_branches.py
- README.md
- - __init__.py
  - test_llm_errors.py
  - test_usage_metrics.py
- - __init__.py
  - filenames.py
  - format_datetime.py
  - generate_run_id.py
  - llm_class_filter.py
  - llm_info.py
  - model_profile.py
  - pipeline_version.py
  - plan_file.py
  - planexe_config.py
  - planexe_dotenv.py
  - prompt_catalog.py
  - README.md
  - speedvsdetail.py
  - start_time.py
- - __init__.py
  - extract_dag.py
  - format_json_for_use_in_query.py
  - llm_factory.py
  - README.md
- __init__.py
- AGENTS.md
- app.py
- Dockerfile
- pyproject.toml
- railway.md
- railway.toml
- README.md
- - settings.json
- - __init__.py
  - test_model_profile.py
  - test_speedvsdetail.py
  - test_worker_identity.py
- __init__.py
- AGENTS.md
- app.py
- config.py
- Dockerfile
- machai.py
- model_profile.py
- pyrightconfig.json
- pyrightconfig.md
- railway.md
- railway.toml
- README.md
- requirements.txt
- speedvsdetail.py
- worker_identity.py
.dockerignore
.env.developer-example
.env.docker-example
.gitignore
AGENTS.md
docker-compose.md
docker-compose.yml
LICENSE
planexe
PlanExe.code-workspace
README.md
rebuild.sh
test.py
test_oauth_parse.py

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/PlanExeOrg/PlanExe

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd PlanExe

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Docker

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.

docker compose up -d --build

정의된 모든 컨테이너(서버, DB 등)를 한 번에 빌드하고 백그라운드에서 실행합니다.

✅ 터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.

3. Python

쉬움

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install -r mcp_cloud/requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

파이썬 스크립트(또는 모듈)를 실행합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

PlanExe

파일 탐색기

# 설치 가이드

2. Docker

3. Python

오늘의 추천 프로젝트

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PlanExe

파일 탐색기

# 설치 가이드

2. Docker

3. Python

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

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