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agentic-flow

Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, ne

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Description

Production-ready AI agent orchestration platform with 66 specialized agents, 213 MCP tools, ReasoningBank learning memory, and autonomous multi-agent swarms. Built by @ruvnet with Claude Agent SDK, neural networks, memory persistence, GitHub integration,

Release History

VersionChangesUrgencyDate
v2.1.3# agentic-flow v2.1.3 — Windows fix, cleaner local model routing, jujutsu compatibility ## What is agentic-flow? agentic-flow lets you run Claude Code (or the Claude Agent SDK) against cheaper or fully local AI models instead of always paying for the most expensive one, and then take whatever agent you built and deploy it as a real hosted service. It bundles a router that picks the right model for the job, a memory system (AgentDB) so agents remember what they've learned, and a set of providerHigh9/16/2026
2.0.7Imported from npm (2.0.7)Low4/21/2026
v2.3.6Release v2.3.6Low11/24/2025
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v2.3.5Release v2.3.5Low11/24/2025
v2.3.4Release v2.3.4Low11/16/2025
v2.3.3Release v2.3.3Low11/10/2025
v2.3.2## v2.3.2 - Documentation Update Updated README to reflect current features: - ✅ Removed "(Coming Soon)" entries - ✅ Updated v2.3 quantum features section - ✅ Added v2.3.1 validation improvements - ✅ Clarified evolution timeline No code changes - documentation only. **Install:** ```bash npm install agentic-jujutsu@2.3.2 ``` **Previous Release:** v2.3.1 - Validation fixes for ReasoningBankLow11/10/2025
v2.3.1# v2.3.1 - Validation Fixes Patch release addressing three validation gaps in the ReasoningBank trajectory management system. ## 🔧 Fixes ### Score Validation - ✅ Reject scores outside 0.0-1.0 range - ✅ Reject NaN and Infinity values - ✅ Proper error messages for invalid scores ### State Validation - ✅ Require at least one operation before finalization - ✅ Prevent empty trajectories from being stored ### Input Validation - ✅ Reject empty or whitespace-only task descriptions - ✅ Enforce max Low11/10/2025
v2.2.0Release v2.2.0Low11/10/2025
v2.1.1Release v2.1.1Low11/10/2025
v2.1.0Release v2.1.0Low11/10/2025
v2.0.3Release v2.0.3Low11/10/2025
v2.0.2Release v2.0.2Low11/10/2025
v2.0.1Release v2.0.1Low11/10/2025
v2.0.0Release v2.0.0Low11/10/2025
v1.10.0# Release Notes - v1.10.0 **Release Date:** 2025-11-06 **Codename:** "Performance Breakthrough" **Branch:** `feature/http2-http3-websocket` → `main` --- ## đŸŽ¯ Overview Version 1.10.0 is a **major performance release** introducing enterprise-grade multi-protocol proxy support with **60% latency reduction** and **350% throughput increase**. This release includes comprehensive security features, advanced performance optimizations, and production-ready implementations. --- ## 🚀 Major FeaturesLow11/7/2025
v1.9.4## 🚀 Enterprise Provider Fallback & Dynamic Switching Production-grade provider fallback for long-running AI agents with automatic failover, circuit breaker, health monitoring, cost optimization, and crash recovery. ### New Core Classes #### `ProviderManager` (src/core/provider-manager.ts) Intelligent multi-provider management with automatic failover - **4 fallback strategies**: priority, cost-optimized, performance-optimized, round-robin - **Circuit breaker** prevents cascading failures witLow11/6/2025
v1.9.3## 🎉 Gemini Provider Now Fully Functional Three critical bugs have been fixed in v1.9.3, making the Gemini provider production-ready with complete streaming support. ### Fixed **1. Model Selection Bug** (cli-proxy.ts, anthropic-to-gemini.ts) - **Issue**: Proxy incorrectly used `COMPLETION_MODEL` environment variable containing `claude-sonnet-4-5-20250929` instead of Gemini model - **Fix**: Ignore `COMPLETION_MODEL` for Gemini proxy, always default to `gemini-2.0-flash-exp` - **Impact**: GemiLow11/6/2025
v1.9.2## 🔍 Gemini Provider Validation Release This release focuses on comprehensive testing and documentation of the Gemini provider integration. ### 🐛 Issues Documented - **Issue #51**: Gemini provider empty response bug - ✅ Proxy initialization works correctly - ✅ Request routing successful - ❌ Response conversion needs debugging - Comprehensive investigation findings included - **Issue #50**: Config wizard multi-provider support - Request to add GOOGLE_GEMINI_API_KEY prompt - RequLow11/6/2025
v1.7.0# agentic-flow v1.7.0 - AgentDB Integration & Memory Optimization **Release Date**: 2025-01-24 **Status**: ✅ Ready for Release **Backwards Compatibility**: 100% Compatible --- ## 🎉 What's New ### Major Features #### 1. AgentDB Integration (Issue #34) - ✅ **Proper Dependency**: Integrated AgentDB v1.3.9 as npm dependency - ✅ **29 MCP Tools**: Full Claude Desktop support via Model Context Protocol - ✅ **Code Reduction**: Removed 400KB of duplicated embedded code - ✅ **Automatic Updates**: GeLow10/24/2025
agentdb-v1.0.0## agentdb v1.0.0 ### 🚀 Initial Release Ultra-fast agent memory and vector database with ReasoningBank for AI agents. Built on SQLite with QUIC sync. From ruv.io - Advanced AI Infrastructure. ### Key Features - ⚡ Dual backend support (Native better-sqlite3 + WASM sql.js) - 🧠 6 Advanced Learning Plugins (Federated, Curriculum, Active, Adversarial, NAS, Multi-Task) - 🔍 HNSW vector indexing for fast similarity search - 📊 Product & Scalar quantization for memory efficiency - 🔄 QUIC-based sLow10/18/2025
v1.6.4# 🚀 agentic-flow v1.6.4 - QUIC Transport Production Ready ## Overview Complete QUIC transport implementation with validated performance metrics. All features 100% complete and production-ready. ## ✨ New Features ### QUIC Transport - 100% Complete - ✅ **UDP Socket Integration** - Full packet bridge layer with WASM - ✅ **QUIC Handshake Protocol** - Complete state machine implementation - ✅ **Performance Validation** - All claims verified with benchmarks - ✅ **Docker Validation** - 12/12 testsLow10/17/2025
v1.3.0# Changelog - v1.3.0 ## Release Date: October 7, 2025 ## 🎉 Major Features ### Tool Emulation Architecture (Phase 2) Complete implementation of tool emulation system for models without native function calling support. **Key Features:** - ✅ Automatic model capability detection - ✅ ReAct and Prompt-based emulation strategies - ✅ User-facing emulation messages at 3 levels - ✅ Zero breaking changes - 100% backward compatible - ✅ 15/15 regression tests passing **Supported Models:** - Native toolLow10/7/2025
v1.2.7## 🚀 What's New in v1.2.7 ### Auto-Enabled MCP Tools All MCP servers are now enabled by default, providing immediate access to 272 powerful tools without configuration! **MCP Tools Included:** - 🔧 **claude-flow-sdk**: 9 in-SDK tools - 🌊 **claude-flow**: 101 orchestration tools - 🔮 **flow-nexus**: 162 platform tools - đŸ’ŗ **agentic-payments**: 9 payment tools - **Total: 272 tools ready to use!** ### Key Changes - ✅ Switched from opt-in to opt-out MCP configuration - ✅ All MCP servers load aLow10/7/2025
v1.1.14## 🎉 Major Fix: OpenRouter Proxy Now Working! ### Critical Bug Fixed Fixed TypeError on `anthropicReq.system` field that was causing 100% failure rate for OpenRouter requests. ### Success Rate: 80% (8/10 models) **Working Models:** - ✅ OpenAI GPT-4o-mini (99% cost savings vs Claude!) - ✅ OpenAI GPT-3.5-turbo - ✅ Meta Llama 3.1 8B - ✅ Anthropic Claude 3.5 Sonnet (via OpenRouter) - ✅ Mistral 7B - ✅ Google Gemini 2.0 Flash - ✅ xAI Grok 4 Fast (#1 most popular OpenRouter model!) - ✅ GLM 4.6 - ✅ Low10/5/2025
v1.1.14-beta.1## 🎉 Major Fix: OpenRouter Proxy Now Working! ### Critical Bug Fixed Fixed TypeError on `anthropicReq.system` field that was causing 100% failure rate for OpenRouter requests. ### Success Rate: 80% (8/10 models) **Working Models:** - ✅ OpenAI GPT-4o-mini (99% cost savings vs Claude!) - ✅ OpenAI GPT-3.5-turbo - ✅ Meta Llama 3.1 8B - ✅ Anthropic Claude 3.5 Sonnet (via OpenRouter) - ✅ Mistral 7B - ✅ Google Gemini 2.0 Flash - ✅ xAI Grok 4 Fast (#1 most popular OpenRouter model!) - ✅ GLM 4.6 - ✅ Low10/5/2025

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