Local code search and architectural memory MCP server for AI coding agents. Hybrid retrieval (vector + FTS + reranker) with Tree-sitter AST chunking. Runs entirely on your machine.
Embeddings and similarity search.
Local code search and architectural memory MCP server for AI coding agents. Hybrid retrieval (vector + FTS + reranker) with Tree-sitter AST chunking. Runs entirely on your machine.
Continuous learning for Kiro agent sessions on AWS. Passive tool-use capture, LLM extraction, and synchronous context injection — inspired by claude-mem, aligned with Bedrock AgentCore Memory.
MoltFlow — complete WhatsApp automation platform: bulk messaging, scheduled messages, scheduled reports, custom groups, lead detection & CRM, AI replies with style cloning, knowledge base (RAG), voice transcription, group monitoring, labels, anti-spam, co
Complete development container that sets up Claude Code with modular devcontainer features, modern dev tools, and persistent configurations. Drop it into any project and get a production-ready AI development environment in minutes.
Search your Notion, Slack, GitHub, and Google Drive from your AI agent. One command setup. Works with Claude Code, Cursor, and any MCP client.
Memory for AI agents that can't hallucinate — cited or abstains, provable forget, deterministic.
PDF-to-Markdown extraction that audits its own output and flags any extractor's silent drops.
AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.
Shared, persistent memory for AI agents, with semantic recall and live updates.
Curated knowledge for AI agents — 19K chunks, 121 skills, semantic search via MCP
Semantic document memory using Redis vector store. Save and recall files with natural language.
Code context for AI dev tools: pack-scoped, cited code retrieval over MCP.
Durable agentic memory, encrypted at rest. Fully offline: no network, no API key, no cloud.
Agent failure memory network. Search 235+ verified debugging lessons from real engineering sessions.
Graph-based memory system for LLMs with knowledge graphs and semantic search.
Guardrailed video editing for AI agents: FFmpeg, captions, effects, Hyperframes, and receipts.
Local-first personal knowledge base. Cited answers from your vault via vector + graph retrieval.
Semantic search over IMAGIN.studio API documentation — CDN, API, integration guides, and more.
Lightning-fast RAG for AI agents. 4-layer fusion, ONNX Runtime, sub-200ms search.