Release Notes
Version 1.2.9 (2025-11-14)
✨ Highlights
- EvoLink provider for text, images, and video via
pkg/agno/models/evolink/*, with new EvoLink Media Agents example pages showing end-to-end media workflows. - Knowledge upload chunking:
POST /api/v1/knowledge/contentnow acceptschunk_sizeandchunk_overlap(JSON,text/plainquery params, and multipart form fields) and records these values together withchunker_typein chunk metadata. - AgentOS HTTP documentation now covers custom health endpoints,
/openapi.yaml,/docs, andserver.Resync()guidance on the AgentOS API page.
📚 Documentation
- Updated
website/api/agentos.md(and localized variants) with Knowledge chunking parameters, examples, and HTTP surface tips. - Added EvoLink Media Agents example pages in English and Chinese for media-focused workflows.
✅ Compatibility
- Additive release; no breaking API changes. Knowledge chunking parameters are optional and default to previous behavior when omitted.
Version 1.2.8 (2025-11-10)
✨ Highlights
- Run Context propagation across hooks, tools, and telemetry with
run_context_idincluded in streaming events for trace correlation. - Session state persists
AGUIUI substate and returns it viaGET /sessions/{id}. - Vector indexing:
- Pluggable VectorDB providers (Chroma default; Redis optional).
- VectorDB migration CLI for idempotent setup (
migrate up/down).
- Embeddings: VLLM provider (local/remote) via common interface.
- MCPTools: optional
tool_name_prefixto prefix registered tools.
🔧 Improvements
- Redis removed as a default dependency for VectorDB; enabling Redis registers provider without affecting defaults.
- Team model inheritance propagates only the primary model; auxiliary flags remain agent-scoped unless opted-in.
🐛 Fixes
- Correctly bind model responses to active steps; fix unbound/zero-value histories.
- Team tool determination aligns with OS schema; preserves member tools.
- Async DB knowledge filters respect composite predicates and timeouts.
- Toolkit import errors are structured; no panics on missing modules.
- AgentOS error responses standardized for consistent contract tests.
🧪 Tests
- Added coverage for Run Context, AGUI persistence, team inheritance, MCP prefixing, and VLLM embeddings.
- Optional Redis tests gated; skipped when dependency absent.
✅ Compatibility
- Additive update; public APIs unchanged. Optional features are off by default.
Version 1.2.7 (2025-11-03)
✨ Highlights
- Go-native session service mirroring the Python AgentOS
/sessionsAPI with Postgres-backed CRUD, Chi routing, and health endpoints (guide). - Deployment assets across environments: dedicated Dockerfile, Docker Compose stack with Postgres, and a Helm chart for Kubernetes rollouts.
- Documentation updates and
test-session-api.shhelper script to validate endpoints locally and in CI.
🔧 Improvements
- Postgres store implementation with typed DTOs and transaction-safe operations aligned with existing AgentOS schemas.
- Configuration guidance covering DSN wiring, environment variables, and workflow scripts for the new session runtime.
🧪 Tests
- Contract suite comparing Go responses to Python fixtures plus dedicated Postgres store tests.
✅ Compatibility
- Additive update; the Go session runtime is optional and coexists with the Python service.
Version 1.2.6 (2025-10-31)
✨ Highlights
- Session parity: session reuse endpoint,
GET/POST /sessions/{id}/summarywith sync/async modes, history filters (num_messages,stream_events), and run metadata for cache hits and cancellation reasons. - Response caching for agents and teams with in-memory LRU store plus configurable summary manager defaults.
- Media attachments pipeline for agents, teams, and workflows (
WithMediaPayload) with validation helpers. - Storage adapters for MongoDB and SQLite alongside Postgres, sharing the same JSON contracts.
- Toolkit expansions: Tavily Reader/Search, Claude Agent Skills, Gmail mark-as-read, Jira worklogs, ElevenLabs speech synthesis, and enhanced file tooling.
- Culture knowledge manager for curating organisational knowledge asynchronously.
🔧 Improvements
- Workflow engine persists cancellation reasons, supports resume-from checkpoints, and handles media-only payloads.
- AgentOS session APIs expose summary endpoints, reuse semantics, and history pagination with SSE toggles.
- MCP client forwards media attachments and caches capability manifests for faster tool execution.
🧪 Tests
- Added coverage for cache layer, summary manager, storage drivers, workflow resumptions, and new toolkits.
✅ Compatibility
- Additive changes; existing APIs remain backward compatible.
Version 1.2.5 (2025-10-20)
✨ Highlights
- 新增 8 个模型提供商:Cohere、Together、OpenRouter、LM Studio、Vercel、Portkey、InternLM、SambaNova(支持同步与流式、函数调用)
- 新增评估系统(场景评测、指标汇总、多模型对比),媒体处理(图片元数据;音/视频占位),调试工具(请求/响应精简转储),云部署占位(NoopDeployer)
- 集成注册表(注册/列表/健康检查)与通用 utils(JSONPretty、Retry)
🔧 修复与改进
- Airflow 工具返回结构对齐 Airflow REST API v2:
total_entries、dag_run_id、logical_date - 站点首页图片缺失:将 hero 图片从
/logo.svg更改为/logo.png
🧪 测试
- 为新模型与模块补充了聚焦单测;维持现有基准测试
✅ 兼容性
- 全部为增量功能,无破坏性变更
Version 1.2.1 (2025-10-15)
🧭 Documentation Reorganization
- Adopted clear separation between implemented docs and design/WIP:
website/→ Implemented, user-facing documentation (VitePress)docs/→ Design drafts, migration plans, tasks, and developer/internal docs
- Added
docs/README.mdto document the policy and entry points - Added
CONTRIBUTING.mdfor contributor onboarding
🔗 Link Fixes
- Updated README, CLAUDE, CHANGELOG, and release notes to point to canonical pages under
website/advanced/*andwebsite/guide/* - Removed outdated references to duplicated files under
docs/
🌐 Website Updates
- API: Added Knowledge API details to AgentOS page (
/api/agentos) - Ensured Workflow History and Performance pages are the canonical references
✅ No Behavior Changes
- This release updates documentation only; runtime behavior is unchanged
✨ New in 1.2.1 (Implemented)
- SSE event filtering for streaming endpoints (A2A)
POST /api/v1/agents/:id/run/stream?types=token,complete- Emits only requested event types; standard SSE format; context cancel supported
- Content extraction middleware for AgentOS
- JSON/Form → context injection of
content/metadata/user_id/session_id - Request size guard via
MaxRequestSize; skip paths supported
- JSON/Form → context injection of
- Google Sheets toolkit (service account)
read_range,write_range,append_rows; JSON or file credentials
- Minimal knowledge ingestion endpoint
POST /api/v1/knowledge/contentsupportstext/plainandapplication/json
Enterprise validation steps: see docs/ENTERPRISE_MIGRATION_PLAN.md.
Version 1.1.0 (2025-10-08)
🎉 Highlights
This release brings powerful new features for production-ready multi-agent systems:
- A2A Interface - Standardized agent-to-agent communication protocol
- Session State Management - Persistent state across workflow steps
- Multi-Tenant Support - Serve multiple users with a single agent instance
- Model Timeout Configuration - Fine-grained timeout control for LLM calls
✨ New Features
A2A (Agent-to-Agent) Interface
A standardized communication protocol for agent-to-agent interactions based on JSON-RPC 2.0.
Key Features:
- REST API endpoints (
/a2a/message/send,/a2a/message/stream) - Multi-media support (text, images, files, JSON data)
- Server-Sent Events (SSE) for streaming
- Compatible with Python Agno A2A implementation
Quick Example:
import "github.com/rexleimo/agno-go/pkg/agentos/a2a"
// Create A2A interface
a2a := a2a.New(a2a.Config{
Agents: []a2a.Entity{myAgent},
Prefix: "/a2a",
})
// Register routes (Gin)
router := gin.Default()
a2a.RegisterRoutes(router)📚 Learn More: A2A Interface Documentation
Workflow Session State Management
Thread-safe session management for maintaining state across workflow steps.
Key Features:
- Cross-step persistent state storage
- Thread-safe with
sync.RWMutex - Deep copy for parallel branch isolation
- Smart merge strategy to prevent data loss
- Fixes Python Agno v2.1.2 race condition
Quick Example:
// Create context with session info
execCtx := workflow.NewExecutionContextWithSession(
"input",
"session-123", // Session ID
"user-a", // User ID
)
// Access session state
execCtx.SetSessionState("key", "value")
value, _ := execCtx.GetSessionState("key")📚 Learn More: Session State Documentation
Multi-Tenant Support
Serve multiple users with a single Agent instance while ensuring complete data isolation.
Key Features:
- User-isolated conversation history
- Optional
userIDparameter in Memory interface - Backward compatible with existing code
- Thread-safe concurrent operations
ClearAll()method for cleanup
Quick Example:
// Create multi-tenant agent
agent, _ := agent.New(&agent.Config{
Name: "customer-service",
Model: model,
Memory: memory.NewInMemory(100),
})
// User A's conversation
agent.UserID = "user-a"
output, _ := agent.Run(ctx, "My name is Alice")
// User B's conversation
agent.UserID = "user-b"
output, _ := agent.Run(ctx, "My name is Bob")📚 Learn More: Multi-Tenant Documentation
Model Timeout Configuration
Configure request timeout for LLM calls with fine-grained control.
Key Features:
- Default: 60 seconds
- Range: 1 second to 10 minutes
- Supported models: OpenAI, Anthropic Claude
- Context-aware timeout handling
Quick Example:
// OpenAI with custom timeout
model, _ := openai.New("gpt-4", openai.Config{
APIKey: apiKey,
Timeout: 30 * time.Second,
})
// Claude with custom timeout
claude, _ := anthropic.New("claude-3-opus", anthropic.Config{
APIKey: apiKey,
Timeout: 45 * time.Second,
})📚 Learn More: Model Configuration
🐛 Bug Fixes
- Workflow Race Condition - Fixed parallel step execution data race
- Python Agno v2.1.2 had shared
session_statedict causing overwrites - Go implementation uses independent SessionState clones per branch
- Smart merge strategy prevents data loss in concurrent execution
- Python Agno v2.1.2 had shared
📚 Documentation
All new features include comprehensive bilingual documentation (English/中文):
- A2A Interface Guide - Complete protocol specification
- Session State Guide - Workflow state management
- Multi-Tenant Guide - Data isolation patterns
- Model Configuration - Timeout settings
🧪 Testing
New Test Suites:
session_state_test.go- 543 lines of session state testsmemory_test.go- Multi-tenant memory tests (4 new test cases)agent_test.go- Multi-tenant agent testopenai_test.go- Timeout configuration testanthropic_test.go- Timeout configuration test
Test Results:
- ✅ All tests passing with
-racedetector - ✅ Workflow coverage: 79.4%
- ✅ Memory coverage: 93.1%
- ✅ Agent coverage: 74.7%
📊 Performance
No Performance Regression - All benchmarks remain consistent:
- Agent instantiation: ~180ns/op (16x faster than Python)
- Memory footprint: ~1.2KB per agent
- Thread-safe concurrent operations
⚠️ Breaking Changes
None. This release is fully backward compatible with v1.0.x.
🔄 Migration Guide
No migration needed - All new features are additive and backward compatible.
Optional Enhancements:
Enable Multi-Tenant Support:
go// Add UserID to agent configuration agent := agent.New(agent.Config{ UserID: "user-123", // NEW Memory: memory.NewInMemory(100), })Use Session State in Workflows:
go// Create context with session ctx := workflow.NewExecutionContextWithSession( "input", "session-id", "user-id", )Configure Model Timeout:
go// Add Timeout to model config model, _ := openai.New("gpt-4", openai.Config{ APIKey: apiKey, Timeout: 30 * time.Second, // NEW })
📦 Installation
go get github.com/rexleimo/agno-go@v1.1.0🔗 Links
- GitHub Release: v1.1.0
- Full Changelog: CHANGELOG.md
- Documentation: https://agno-go.dev
Version 1.0.3 (2025-10-06)
🧪 Improved
Testing & Quality
- Enhanced JSON Serialization Tests - Achieved 100% test coverage for utils/serialize package
- Performance Benchmarks - Aligned with Python Agno performance testing patterns
- Comprehensive Documentation - Added bilingual package documentation
Performance
- ToJSON: ~600ns/op, 760B/op, 15 allocs/op
- ConvertValue: ~180ns/op, 392B/op, 5 allocs/op
- Agent Creation: ~180ns/op (16x faster than Python)
Version 1.0.2 (2025-10-05)
✨ Added
GLM (智谱AI) Provider
- Full integration with Zhipu AI's GLM models
- Support for GLM-4, GLM-4V (vision), GLM-3-Turbo
- Custom JWT authentication (HMAC-SHA256)
- Synchronous and streaming API calls
- Tool/function calling support
- Test coverage: 57.2%
Quick Example:
model, _ := glm.New("glm-4", glm.Config{
APIKey: os.Getenv("ZHIPUAI_API_KEY"),
Temperature: 0.7,
})Version 1.0.0 (2025-10-02)
🎉 Initial Release
Agno-Go v1.0 is a high-performance Go implementation of the Agno multi-agent framework.
Core Features
- Agent - Single autonomous agent with tool support (74.7% coverage)
- Team - Multi-agent collaboration with 4 modes (92.3% coverage)
- Workflow - Step-based orchestration with 5 primitives (80.4% coverage)
LLM Providers
- OpenAI (GPT-4, GPT-3.5, GPT-4 Turbo)
- Anthropic (Claude 3.5 Sonnet, Claude 3 Opus/Sonnet/Haiku)
- Ollama (Local models)
Tools & Storage
- Calculator, HTTP, File tools
- In-memory conversation storage (93.1% coverage)
- Session management
- ChromaDB vector database
Performance
- Agent creation: ~180ns/op (16x faster than Python)
- Memory footprint: ~1.2KB per agent
- Test coverage: 80.8% average
Previous Versions
See CHANGELOG.md for complete version history.
Last Updated: 2025-10-08
