After months of iteration, I'm excited to release AgentHelm v0.3.0, a significant step toward making AI agents production-ready.
The Problem
Building AI agents is easy. Running them reliably in production is hard.
You need to handle:
- Multi-step execution with failure recovery
- Memory persistence across sessions
- Cost and token tracking
- Observability and debugging
- Tool orchestration at scale
Most agent frameworks focus on the first mile (getting an agent to work) but neglect the last mile (keeping it running reliably).
What's New in v0.3.0
Plan-Driven Execution
Instead of letting agents run wild, AgentHelm introduces a plan-first approach:
Task → Plan Generation → Human Review → Execution
The PlannerAgent generates a structured plan with steps and dependencies. You review it. Then the Orchestrator executes it with parallel execution where possible.
If something fails mid-execution, the Saga pattern kicks in, compensating actions roll back completed steps automatically.
Unified Memory Hub
Memory is no longer an afterthought. MemoryHub provides:
- Short-term memory: Key-value storage with TTL (InMemory, SQLite, Redis)
- Semantic memory: Vector search with Qdrant and FastEmbed
Zero-config by default, but scales to production with Redis and network Qdrant.
Full CLI
Everything works from the command line:
agenthelm run "Analyze this quarter's sales data"
agenthelm plan "Build a customer support bot" -o plan.yaml
agenthelm execute plan.yaml --dry-run
agenthelm chat
agenthelm traces list
OpenTelemetry Integration
Every tool execution is traced. Export to Jaeger for visualization. Track costs across 20+ LLM providers with built-in pricing.
MCP Support
Connect to Model Context Protocol servers and use their tools directly in your agents.
Architecture
Getting Started
pip install agenthelm
agenthelm init
agenthelm chat
What's Next
v0.4.0 will focus on:
- Web dashboard for trace visualization
- Advanced conflict resolution in multi-agent workflows
- Policy engine for budget and constraint enforcement
- Webhook integrations
AgentHelm is open source. Contributions welcome.
Top comments (0)