agentic-flow

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

Use agentic-flow's optional ruvnet integrations - aidefence prompt-injection screening, @ruvector/mincut-wasm task partitioning, @ruvnet/sublinear-core PageRank, personalized PageRank and linear solves, agent-booster code edits, ONNX WASM embeddings and the native HNSW router. Use when splitting work between agent teams, ranking files or agents in a dependency graph, screening untrusted text for prompt injection, solving a linear system, or checking which integrations are installed.

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

Make a long-running or looped task list learn as it goes with agentic-flow - before each task recall similar past episodes and their critiques, after each task record the outcome, and re-engage failed tasks with what was learned. Use with /loop or autopilot-style runs, or when the user asks for "self-learning" task completion.

Use agentic-flow's optional ruvnet integrations - aidefence prompt-injection screening, @ruvector/mincut-wasm task partitioning, @ruvnet/sublinear-core PageRank, personalized PageRank and linear solves, agent-booster code edits, ONNX WASM embeddings and the native HNSW router. Use when splitting work between agent teams, ranking files or agents in a dependency graph, screening untrusted text for prompt injection, solving a linear system, or checking which integrations are installed.

Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

Comprehensive GitHub code review with AI-powered swarm coordination

Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration

Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory

Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.

Route agentic-flow work across Anthropic, OpenRouter, Gemini and local ONNX models, and run the Anthropic-compatible translation proxy with its per-run token. Use when the user wants cheaper models, a non-Anthropic provider, local inference, or to point Claude Code at OpenRouter or Gemini.