Skip to content
ai-supply.store
DécouvrirCatégoriesClassementsCommunautéAgent APIFAQ
Se connecterInscription gratuite
catalog / Language & NLP / RAGFlow
⬡PipelineLanguage & NLPFree

RAGFlow

Open-source RAG engine built on deep document understanding, grounding LLM answers with traceable citations.

@ai-supply
Installations224
⟳ upstream v0.26.4 · updated 1mo ago
↗ Dépôt source
← More Language & NLPLanguage & NLP leaderboard →How we grade security →Source ↗
! Grade D · 0/100 · ReviewSecurity assessment
3compromise signals62capabilities surfaced1known CVE5of 20 OWASP controls clear
Embedded credentialsEmbedded credentialsVerified secret leak (deep scan)External endpoints declared
scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

RAGFlow

RAGFlow is a leading open-source Retrieval-Augmented Generation engine built around deep document understanding. It ingests complex, unstructured documents, chunks them intelligently, and grounds LLM answers with citations you can trace back to the source — reducing hallucinations in question-answering over private knowledge.

Key features

  • Deep document parsing (PDF, DOCX, tables, figures, scanned pages) with layout awareness
  • Template-based, explainable chunking with citations back to the original document
  • Agentic RAG, knowledge-graph extraction, and multi-recall retrieval
  • Compatible with many LLMs and embedding models; REST API plus a web UI
  • One-command Docker Compose deployment

Usage note: launch the stack with the provided Docker Compose file, upload a knowledge base, and query it through the web UI or the HTTP API to get cited answers.

Curated mirror of the open-source RAGFlow (Apache-2.0). Get it from the source.

Rating rank
#1
of 30 in Language & NLP
Install rank
#29
of 30 in Language & NLP
Security score
0/100 · D
review
Security rank
#28
of 30 in Language & NLP
Installs
224
cat avg 145k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Language & NLP leaderboard →
! Security: Review · 00/100 · grade Dscanned 1mo ago
⚠ 3 compromise signals63 risk-surface · 10/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ filesystem⚑ shell⚑ network⚑ secrets
egress → docs.github.com, mirrors.aliyun.com, host.docker.internal, archive.ubuntu.com, security.ubuntu.com, gitee.com, nginx.org, registry.npmmirror.com +32
133 steps⚑ uses secretsgithub.comactions/checkout@v6actions/setup-go@v5actions/upload-artifact@v4actions/download-artifact@v5softprops/action-gh-release@v2docs.github.comcodecov/codecov-action@v5

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM02Sensitive Information Disclosurecompromise · high
Secrets, credentials or PII shipped inside the artifact.
•Embedded credentials — found: hardcoded credential · infiniflow-ragflow-891261e/common/data_source/box_connector.py (CWE-798)compromise
•Embedded credentials — found: private key · infiniflow-ragflow-891261e/conf/private.pem (CWE-798)compromise
•Low-confidence secret match — 1 possible: generic-api-key · infiniflow-ragflow-891261e/common/data_source/box_connector.py (CWE-798)risk surface
•Verified secret leak (deep scan) — 1 leak(s): private-key · infiniflow-ragflow-891261e/conf/private.pem (CWE-798)compromise
⚠LLM07System Prompt Leakagecompromise · high
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · infiniflow-ragflow-891261e/.github/workflows/sep-tests.yml (CWE-200)risk surface
•Embedded credentials — found: hardcoded credential · infiniflow-ragflow-891261e/common/data_source/box_connector.py (CWE-798)compromise
•Embedded credentials — found: private key · infiniflow-ragflow-891261e/conf/private.pem (CWE-798)compromise
•Low-confidence secret match — 1 possible: generic-api-key · infiniflow-ragflow-891261e/common/data_source/box_connector.py (CWE-798)risk surface
•Verified secret leak (deep scan) — 1 leak(s): private-key · infiniflow-ragflow-891261e/conf/private.pem (CWE-798)compromise
⚠LLM03Supply Chaincritical
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 3 pip requirements declared · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/requirements.txtrisk surface
•Dependency manifest — 1 npm dependencies declared · infiniflow-ragflow-891261e/agent/sandbox/sandbox_base_image/nodejs/package.jsonrisk surface
•Dependency manifest — 4 pip requirements declared · infiniflow-ragflow-891261e/agent/sandbox/sandbox_base_image/python/requirements.txtrisk surface
•Dependency manifest — 2 npm dependencies declared · infiniflow-ragflow-891261e/api/channels/whatsapp/gateway-node/package.jsonrisk surface
•Vulnerable dependencies — 394 known vulnerabilities in: idna@3.11, pygments@2.19.2, pytest@9.0.1, requests@2.32.5, urllib3@2.6.3, fastapi@0.99.1, uvicorn@0.9.1, idna@3.9.0 (CWE-1395)known CVE · -25 pts
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected · infiniflow-ragflow-891261e/common/data_source/rest_api_connector.py (CWE-77)expected
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — destructive rm -rf /; pipe-to-shell install · infiniflow-ragflow-891261e/Dockerfile (CWE-78)risk surface
•Suspicious code patterns — pipe-to-shell install · infiniflow-ragflow-891261e/Dockerfile.scratch.oc9 (CWE-494)risk surface
•Suspicious code patterns — destructive rm -rf / · infiniflow-ragflow-891261e/Dockerfile_deepdoc_oss (CWE-78)risk surface
•Suspicious code patterns — pickle deserialization · infiniflow-ragflow-891261e/SECURITY.md (CWE-502)risk surface
•Suspicious code patterns — dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/services/execution.py (CWE-95)risk surface
•Suspicious code patterns — child_process exec; dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/services/security.py (CWE-78)risk surface
•Suspicious code patterns — OS command execution · infiniflow-ragflow-891261e/agent/sandbox/providers/local.py (CWE-78)risk surface
•Suspicious code patterns — OS command execution; dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/tests/sandbox_security_tests_full.py (CWE-78)risk surface
•Suspicious code patterns — unsafe yaml.load · infiniflow-ragflow-891261e/api/db/services/compilation_template_service.py (CWE-502)risk surface
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · infiniflow-ragflow-891261e/.github/ISSUE_TEMPLATE/agent_scenario_request.ymlrisk surface
•Egress to a private/loopback host — 127.0.0.1 · infiniflow-ragflow-891261e/.github/copilot-instructions.md (CWE-918)risk surface
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · infiniflow-ragflow-891261e/.github/workflows/release.yml (CWE-272)risk surface
•External endpoints declared — 2 distinct host(s) · infiniflow-ragflow-891261e/.github/workflows/release.ymlrisk surface
•External endpoints declared — 3 distinct host(s) · infiniflow-ragflow-891261e/.github/workflows/sep-tests.ymlrisk surface
•External endpoints declared — 7 distinct host(s) · infiniflow-ragflow-891261e/.gitignorerisk surface
•External endpoints declared — 9 distinct host(s) · infiniflow-ragflow-891261e/Dockerfilerisk surface
•External endpoints declared — 4 distinct host(s) · infiniflow-ragflow-891261e/Dockerfile_deepdoc_ossrisk surface
•External endpoints declared — 15 distinct host(s) · infiniflow-ragflow-891261e/README.mdrisk surface
•External endpoints declared — 17 distinct host(s) · infiniflow-ragflow-891261e/README_tzh.mdrisk surface
•External endpoints declared — 8 distinct host(s) · infiniflow-ragflow-891261e/agent/sandbox/sandbox_spec.mdrisk surface
•External endpoints declared — 6 distinct host(s) · infiniflow-ragflow-891261e/api/channels/whatsapp/gateway-node/package-lock.jsonrisk surface
•Egress to a private/loopback host — 172.17.0.1 · infiniflow-ragflow-891261e/common/data_source/webdav_connector.py (CWE-918)risk surface
•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege · infiniflow-ragflow-891261e/common/settings.py (CWE-272)risk surface
•External endpoints declared — 34 distinct host(s) · infiniflow-ragflow-891261e/conf/llm_factories.jsonrisk surface
•External endpoints declared — 5 distinct host(s) · infiniflow-ragflow-891261e/docker/README.mdrisk surface
•Egress to a private/loopback host — 127.0.0.1, 0.0.0.0, 172.19.0.6 · infiniflow-ragflow-891261e/docs/develop/mcp/launch_mcp_server.md (CWE-918)risk surface
•Egress to a private/loopback host — 0.0.0.0 · infiniflow-ragflow-891261e/docs/guides/models/deploy_local_llm.mdx (CWE-918)risk surface
•External endpoints declared — 10 distinct host(s) · infiniflow-ragflow-891261e/docs/guides/models/deploy_local_llm.mdxrisk surface
•External endpoints declared — 55 distinct host(s) · infiniflow-ragflow-891261e/docs/guides/models/supported_models.mdxrisk surface
•Egress to a private/loopback host — 169.254.169.254, 127.0.0.1 · infiniflow-ragflow-891261e/internal/agent/component/invoke_test.go (CWE-918)risk surface
•Egress to a private/loopback host — 127.0.0.1, [::1] · infiniflow-ragflow-891261e/internal/agent/tool/keenable_test.go (CWE-918)risk surface
•External endpoints declared — 12 distinct host(s) · infiniflow-ragflow-891261e/internal/agent/tool/keenable_test.gorisk surface
•Egress to a private/loopback host — 127.0.0.1, [::1], 0.0.0.0, [::], 10.0.0.1, 192.168.1.1, 172.16.0.1, 169.254.169.254, [fe80::1], 224.0.0.1 · infiniflow-ragflow-891261e/internal/agent/tool/ssrf_test.go (CWE-918)risk surface
•External endpoints declared — 21 distinct host(s) · infiniflow-ragflow-891261e/internal/agent/tool/ssrf_test.gorisk surface
•Egress to a private/loopback host — 192.168.1.96 · infiniflow-ragflow-891261e/internal/development.md (CWE-918)risk surface
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · infiniflow-ragflow-891261e/admin/client/ragflow_cli.py (CWE-835)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML06AI Supply Chaincritical
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 3 pip requirements declared · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/requirements.txtrisk surface
•Dependency manifest — 1 npm dependencies declared · infiniflow-ragflow-891261e/agent/sandbox/sandbox_base_image/nodejs/package.jsonrisk surface
•Dependency manifest — 4 pip requirements declared · infiniflow-ragflow-891261e/agent/sandbox/sandbox_base_image/python/requirements.txtrisk surface
•Dependency manifest — 2 npm dependencies declared · infiniflow-ragflow-891261e/api/channels/whatsapp/gateway-node/package.jsonrisk surface
•Vulnerable dependencies — 394 known vulnerabilities in: idna@3.11, pygments@2.19.2, pytest@9.0.1, requests@2.32.5, urllib3@2.6.3, fastapi@0.99.1, uvicorn@0.9.1, idna@3.9.0 (CWE-1395)known CVE · -25 pts
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Prompt-injection phrasing — instruction-subversion language detected · infiniflow-ragflow-891261e/common/data_source/rest_api_connector.py (CWE-77)expected
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — destructive rm -rf /; pipe-to-shell install · infiniflow-ragflow-891261e/Dockerfile (CWE-78)risk surface
•Suspicious code patterns — pipe-to-shell install · infiniflow-ragflow-891261e/Dockerfile.scratch.oc9 (CWE-494)risk surface
•Suspicious code patterns — destructive rm -rf / · infiniflow-ragflow-891261e/Dockerfile_deepdoc_oss (CWE-78)risk surface
•Suspicious code patterns — pickle deserialization · infiniflow-ragflow-891261e/SECURITY.md (CWE-502)risk surface
•Suspicious code patterns — dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/services/execution.py (CWE-95)risk surface
•Suspicious code patterns — child_process exec; dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/services/security.py (CWE-78)risk surface
•Suspicious code patterns — OS command execution · infiniflow-ragflow-891261e/agent/sandbox/providers/local.py (CWE-78)risk surface
•Suspicious code patterns — OS command execution; dynamic code execution · infiniflow-ragflow-891261e/agent/sandbox/tests/sandbox_security_tests_full.py (CWE-78)risk surface
•Suspicious code patterns — unsafe yaml.load · infiniflow-ragflow-891261e/api/db/services/compilation_template_service.py (CWE-502)risk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (49) · hygiene / uncategorized
•Unrecognized file type — '.dockerignore' is not on the allowlist · infiniflow-ragflow-891261e/.dockerignorerisk surface
•Unrecognized file type — '.gitattributes' is not on the allowlist · infiniflow-ragflow-891261e/.gitattributesrisk surface
•Suspicious network references — raw IP URL (1 URLs) · infiniflow-ragflow-891261e/.github/copilot-instructions.mdrisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · infiniflow-ragflow-891261e/.gitignorerisk surface
•Unrecognized file type — '.rooignore' is not on the allowlist · infiniflow-ragflow-891261e/.rooignorerisk surface
•Unrecognized file type — '.trivyignore' is not on the allowlist · infiniflow-ragflow-891261e/.trivyignorerisk surface
•Unrecognized file type — '.?' is not on the allowlist · infiniflow-ragflow-891261e/Dockerfilerisk surface
•Unrecognized file type — '.oc9' is not on the allowlist · infiniflow-ragflow-891261e/Dockerfile.scratch.oc9risk surface
•Suspicious network references — suspicious TLD (69 URLs) · infiniflow-ragflow-891261e/README_tzh.mdrisk surface
•Suspicious network references — suspicious TLD (4 URLs) · infiniflow-ragflow-891261e/agent/sandbox/executor_manager/Dockerfilerisk surface
•Suspicious network references — suspicious TLD (1 URLs) · infiniflow-ragflow-891261e/agent/sandbox/pyproject.tomlrisk surface
•Suspicious network references — suspicious TLD (3 URLs) · infiniflow-ragflow-891261e/agent/sandbox/sandbox_base_image/python/Dockerfilerisk surface
•Unrecognized file type — '.ini' is not on the allowlist · infiniflow-ragflow-891261e/agent/sandbox/tests/pytest.inirisk surface
•Suspicious network references — raw IP URL (2 URLs) · infiniflow-ragflow-891261e/common/data_source/webdav_connector.pyrisk surface
•Suspicious network references — suspicious TLD (34 URLs) · infiniflow-ragflow-891261e/conf/llm_factories.jsonrisk surface
•Suspicious network references — suspicious TLD (2 URLs) · infiniflow-ragflow-891261e/conf/models/astraflow.jsonrisk surface
•Unrecognized file type — '.pem' is not on the allowlist · infiniflow-ragflow-891261e/conf/private.pemrisk surface
•Unrecognized file type — '.env' is not on the allowlist · infiniflow-ragflow-891261e/docker/.envrisk surface
•Unrecognized file type — '.single-bucket-example' is not on the allowlist · infiniflow-ragflow-891261e/docker/.env.single-bucket-examplerisk surface
•Suspicious network references — raw IP URL (5 URLs) · infiniflow-ragflow-891261e/docker/README.mdrisk surface
•Suspicious network references — raw IP URL (6 URLs) · infiniflow-ragflow-891261e/docker/docker-compose.ymlrisk surface
•Suspicious network references — raw IP URL, suspicious TLD (3 URLs) · infiniflow-ragflow-891261e/docker/entrypoint.shrisk surface
•Unrecognized file type — '.conf' is not on the allowlist · infiniflow-ragflow-891261e/docker/nginx/nginx.confrisk surface
•Unrecognized file type — '.golang' is not on the allowlist · infiniflow-ragflow-891261e/docker/nginx/ragflow.conf.golangrisk surface
•Suspicious network references — raw IP URL (3 URLs) · infiniflow-ragflow-891261e/docker/nginx/ragflow.conf.golangrisk surface
•Unrecognized file type — '.hybrid' is not on the allowlist · infiniflow-ragflow-891261e/docker/nginx/ragflow.conf.hybridrisk surface
•Suspicious network references — raw IP URL (12 URLs) · infiniflow-ragflow-891261e/docker/nginx/ragflow.conf.hybridrisk surface
•Unrecognized file type — '.python' is not on the allowlist · infiniflow-ragflow-891261e/docker/nginx/ragflow.conf.pythonrisk surface
•Unrecognized file type — '.template' is not on the allowlist · infiniflow-ragflow-891261e/docker/service_conf.yaml.templaterisk surface
•Suspicious network references — raw IP URL (23 URLs) · infiniflow-ragflow-891261e/docs/administrator/configurations/configurations.mdrisk surface
•Unrecognized file type — '.mdx' is not on the allowlist · infiniflow-ragflow-891261e/docs/administrator/tracing.mdxrisk surface
•Suspicious network references — raw IP URL (18 URLs) · infiniflow-ragflow-891261e/docs/develop/mcp/launch_mcp_server.mdrisk surface
•Suspicious network references — raw IP URL (14 URLs) · infiniflow-ragflow-891261e/docs/develop/mcp/mcp_client_example.mdrisk surface
•Suspicious network references — raw IP URL (41 URLs) · infiniflow-ragflow-891261e/docs/faq.mdxrisk surface
•Suspicious network references — raw IP URL (29 URLs) · infiniflow-ragflow-891261e/docs/guides/models/deploy_local_llm.mdxrisk surface
•Suspicious network references — suspicious TLD (56 URLs) · infiniflow-ragflow-891261e/docs/guides/models/supported_models.mdxrisk surface
•Unrecognized file type — '.mod' is not on the allowlist · infiniflow-ragflow-891261e/go.modrisk surface
•Unrecognized file type — '.sum' is not on the allowlist · infiniflow-ragflow-891261e/go.sumrisk surface
•Unrecognized file type — '.helmignore' is not on the allowlist · infiniflow-ragflow-891261e/helm/.helmignorerisk surface
•Unrecognized file type — '.tpl' is not on the allowlist · infiniflow-ragflow-891261e/helm/templates/_helpers.tplrisk surface
•Unrecognized file type — '.tmpl' is not on the allowlist · infiniflow-ragflow-891261e/internal/agent/component/io/templates/document.xml.tmplrisk surface
•Suspicious network references — raw IP URL (21 URLs) · infiniflow-ragflow-891261e/internal/agent/tool/keenable_test.gorisk surface
•Suspicious network references — raw IP URL (32 URLs) · infiniflow-ragflow-891261e/internal/agent/tool/ssrf_test.gorisk surface
•Unrecognized file type — '.h' is not on the allowlist · infiniflow-ragflow-891261e/internal/binding/cpp/analyzer.hrisk surface
•Unrecognized file type — '.cpp' is not on the allowlist · infiniflow-ragflow-891261e/internal/binding/cpp/darts_trie.cpprisk surface
•Unrecognized file type — '.c' is not on the allowlist · infiniflow-ragflow-891261e/internal/binding/cpp/opencc/config_reader.crisk surface
•Unrecognized file type — '.cc' is not on the allowlist · infiniflow-ragflow-891261e/internal/binding/cpp/re2/bitmap256.ccrisk surface
•Suspicious network references — raw IP URL, suspicious TLD (11 URLs) · infiniflow-ragflow-891261e/internal/development.mdrisk surface
•Suspicious network references — suspicious TLD (19 URLs) · infiniflow-ragflow-891261e/internal/entity/models/302ai_test.gorisk surface
✔ verified source · pinned infiniflow-ragflow-891261e
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/ragflow-rag-engine/check). Click a policy:

Consume RAGFlow programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/ragflow-rag-engine

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/ragflow-rag-engine/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add ragflow-rag-engine

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/ragflow-rag-engine/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "ragflow-rag-engine" })
OpenAPI spec →
vlatest
! Security: Review · 01mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

Sign in and install this listing to leave a review.

More from @ai-supply

View profile →
◉Agent
MetaGPT
Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.
↓ 1.0M
⇄Connector
vLLM
High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.
↓ 892k
⇄Connector
Meilisearch
Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.
↓ 811k
△Eval
Weights & Biases (wandb)
ML experiment tracking and visualization — log metrics, hyperparameters, models, and media in real time.
↓ 784k
ai-supply.store

Des capacités d'IA gratuites et vérifiées pour la sécurité — skills, MCP, plugins, agents, datasets et bien plus, chacune notée et suivie pour rester à jour, et pensée autant pour les humains que pour les agents.

api · v3.1status · all green
Contact
support@ai-supply.storesecurity@ai-supply.store
Catalogue
  • Découvrir
  • Catégories
  • Classements
  • Benchmarks
  • Sécurité
  • Scan a repo
Communauté
  • Communauté
  • FAQ
Pour les agents
  • Démarrage rapide (60s)
  • Autoriser un agent
  • Agent API
  • Spécification OpenAPI
Pour les développeurs
  • Publier
  • Tableau de bord
Compte
  • Créer un compte
  • Se connecter
  • Paramètres
Mentions légales
  • Conditions
  • Accord éditeur
  • Utilisation acceptable
  • Confidentialité