astron-agent
AI Agents & AssistantsEnterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Features
- Enterprise‑grade high availability for building scalable AI agent applications
- Native intelligent RPA integration enabling cross‑system process automation
- Ready‑to‑use tool ecosystem with plug‑and‑play access to iFLYTEK models and tools
Recent releases
View all 8 releases →
v1.0.6
New feature
Notable features
- Skill system: manage and use skills via resource management UI and Agent node plugins
- Workflow export integrated with SKILL feature
Full changelog
What's Changed
Based on PRs merged into main since v1.0.5.
New Features
- feat(knowledge): expose optional RAGFlow retrieval parameters (#1231)
- feat: Added skill system,you can now manage skills in the resource management interface and use skills in the plugins of the workflow’s Agent nodes (#1239)
- feat(knowledge): route RAGFlow ops by per-repo datasets (#1242)
- feat: add workflow export to SKILL feature (#1249)
Fixes
- fix(knowledge): forward documentId in /document/split for Ragflow upsert (#1206)
- fix(knowledge): paginate RAGFlow chunks and use id filter for lookups (#1211)
- fix(knowledge): propagate RAGFlow failures instead of swallowing to empty results (#1222)
- fix(ragflow): honor explicit dataset id during upload (#1240)
Improvements
- refactor(knowledge): unify RAGFLOW_DEFAULT_GROUP fallback loader (#1208)
v1.0.5
Security relevant
Security fixes
- HTTPS protocol verification issue
Notable features
- Parallel execution support for iteration nodes
- Workflow export as template feature
- Agent removal function
Full changelog
What's Changed
Based on PRs merged into main since v1.0.4.
New Features
- feat(engine): add parallel execution support for iteration nodes (#1131)
- feat: 新增迭代节点并行模式 (#1134)
- feat: Add agent removal function (#1147)
- feat: Add workflow export as template feature (#1201)
- feat: Add workflow export as template feature (#1203)
Fixes
- fix: Modify the release workflow (#1136)
- fix: chat_bot_list Data synchronization (#1154)
- fix: Fix HTTPS protocol verification issue (#1156)
- fix: Fix the invalid session ID issue (#1159)
- fix: Extend model to add form field length (#1163)
- fix:Fix the issue of missing link logs during API calls (#1166)
- fix:Fix the issue of the MCP tool displaying blank (#1170)
- fix:fix hub ci (#1176)
- fix(core-link): mock
create_enginein database initialization unit tests (#1184) - fix: resolve Python CI formatting failures and fix workflow unittest (#1185)
- fix(knowledge): RAGFlow RAG重新切片时出现重复的RAGFlow文档 (#1181)
- fix(knowledge): RAGFlow RAG重新切片时出现重复的RAGFlow文档 (#1189)
- fix(knowledge): RAGFlow RAG重新切片时出现重复的RAGFlow文档 (#1190)
- fix(knowledge): RAGFlow RAG重新切片时出现重复的RAGFlow文档 (#1192)
- fix(knowledge): RAGFlow RAG重新切片时出现重复的RAGFlow文档 (#1193)
Improvements
- chore: add GitHub-reward form, scripts & actions (#1152)
- chore: fix some nits for make check-python (#1169)
- chore: fix some nits for make check-typescript (#1172)
- fix:fix hub ci (#1177)
- chore: fix some nits for make check-java (#1179)
- Delete irrelevant content (#1093)
- refactor(console-backend): improve code quality and
make test-javapasses (#1182) - Bugfix/superteam (#1188)
v1.0.4
New feature
Notable features
- MySQL compatibility improvements
- Localization image push
- Workflow trace panel
v1.0.3
New feature
Notable features
- Memory nodes and asynchronous task support to workflow engine
- Variable Aggregation Node for data processing
- Hot-reload and asynchronous Kafka features
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Install & Platforms
Install via
docker-compose