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Posted on • Originally published at github.com

LibreFang 2026.3.21 Released

LibreFang 2026.3.21 Released

We're thrilled to announce LibreFang v2026.3.21 — a major release packed with new provider support, a completely redesigned dashboard, granular configuration control, and 30+ stability fixes.

This release also marks our switch to CalVer (YYYY.M.DDHH) for clearer versioning. Here's what's new:

🚀 Expanded LLM Provider Ecosystem

Connect to more models than ever before:

  • Azure OpenAI — Enterprise deployment ready
  • DeepInfra — Access a wide range of open-source models
  • Qwen International & US — Regional endpoints for lower latency
  • ChatGPT Device Auth — New authentication flow for ChatGPT integration

All providers now include enriched error handling with provider/model context baked into ClassifiedError for faster debugging.

⚙️ Configuration & Control You Demanded

This release delivers fine-grained control over agent behavior:

  • Config Validation with Tolerant Mode — Validate configs before startup with graceful fallback options
  • Per-Agent Plugin Scoping — Control which plugins each agent can access via allowed_plugins
  • Configurable Embedding Dimensions — Tune embedding models for your use case
  • FTS-Only Memory Indexing — Skip embeddings if you only need full-text search
  • Custom Log Directory — Point logs wherever you want
  • Configurable Session Reset Prompt — Customize agent context reset behavior
  • Arbitrary Config Keys in Skills — Add custom metadata to skill entries
  • Global Workspace Directory — Share state across sessions

🎨 Dashboard & UI Overhaul

A comprehensive React redesign makes agent management delightful:

  • New layout and navigation flow
  • Better mobile responsiveness
  • Japanese localization support
  • Expanded i18n coverage for goals and analytics
  • Fixed sidebar navigation and broken links
  • Corrected provider/model counts

Plus a fresh promotional banner! 🎉

🤖 Agent Workflows & Automation

Build more sophisticated agents with new tools:

  • Pipeline Runner Agents — Execute multi-step workflows with built-in IMAP email reader for email automation
  • WorkflowTemplate Types — In-memory registry for reusable workflow definitions
  • /reboot Slash Command — Graceful context reset without restarting
  • Workflow Editor Improvements — Better handling of nested mode/error_mode definitions from the UI

🔌 Slack & Discord Integration Enhancements

More control over how agents interact with chat platforms:

  • unfurl_links for Slack — Disable link previews when needed
  • force_flat_replies for Slack — Keep messages in flat mode
  • mention_patterns for Discord — Define custom mention behavior

🐛 Stability & Performance Improvements

30+ bug fixes and optimizations under the hood:

  • Streaming Reliability — Prevent interrupts during multi-tool sequences
  • Infinite Retry Guard — Dead branch cleanup and body size limits
  • LoopGuard Improvements — Replaced fragile heuristics with robust poll detection
  • Knowledge Queries — Fixed JOINs to match entities by name/ID with proper agent scoping
  • GitHub Stats — Resolved zero values and optimized KV operations
  • MCP Improvements — Now supports hyphens in server names
  • Desktop App — Properly load .env files at startup
  • Docker Compose — Fixed admin interface port binding
  • Windows Stability — Fixed browser hand connection issues
  • Skill Resolution — Fixed file path resolution for installed skill execution
  • Cache Performance — Metadata caching reduces per-message overhead
  • Session History — Replace processed images with text placeholders

📚 Documentation & Infrastructure

  • Comprehensive docs review with updated numbers and new sections
  • Auto-updating PR branches on main push
  • GitHub Stats Worker in deploy workflow
  • Improved Homebrew Cask Formula generation

Install / Upgrade

# Binary
curl -fsSL https://get.librefang.ai | sh

# Rust SDK
cargo add librefang

# JavaScript SDK
npm install @librefang/sdk

# Python SDK
pip install librefang-sdk
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