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jamjet-labs/jamjet

v0.1.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

a2a agent-memory agent-safety agentic-ai ai-agents ai-governance
+13 more
ai-safety approval-workflows audit-log human-in-the-loop java llm llmops mcp model-context-protocol production-ai python rust workflow

Summary

AI summary

First public release introduces durable graph execution, seven node types, MCP and A2A support, Python SDK, OpenTelemetry tracing, and PostgreSQL/SQLite storage.

Full changelog

First public release of JamJet — a performance-first, agent-native runtime for AI agents.

Highlights

  • Durable graph execution — event-sourced state machine; crash the process and execution resumes exactly where it stopped
  • 7 node types: model, tool, http, branch, parallel, wait, eval
  • MCP client + server — connect to any MCP server; expose your own tools to external clients
  • A2A client + server — delegate tasks to any A2A-compatible agent, stream progress
  • Python SDK@workflow, @node decorators + builder API
  • Eval harness — inline eval nodes, LLM-judge, assertions, batch CLI runner
  • OpenTelemetry — spans for every node, GenAI semantic conventions, Prometheus metrics
  • PostgreSQL + SQLite — zero-config local dev, production-grade durable storage

Install

pip install jamjet

jamjet-server binaries

The jamjet-server runtime binary is auto-downloaded on first jamjet dev. You can also download it manually from the assets below.

| Platform | Asset |
|----------|-------|
| macOS Apple Silicon | jamjet-server-darwin-aarch64 |
| macOS Intel | jamjet-server-darwin-x86_64 |
| Linux x86_64 | jamjet-server-linux-x86_64 |
| Linux aarch64 | jamjet-server-linux-aarch64 |
| Windows x86_64 | jamjet-server-windows-x86_64.exe |

Documentation

Full docs at jamjet.dev/docs

Full Changelog

See CHANGELOG.md for the complete list of changes.

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About jamjet-labs/jamjet

Durable, agent-native AI runtime with native MCP client + server and A2A support. Rust core for performance, Python authoring for ergonomics. Features graph-based workflows, durable execution, and multi-agent coordination.

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Related context

Earlier breaking changes

  • v0.8.1 PyPI description changed to "safety layer for AI agents"

Beta — feedback welcome: [email protected]