Search results for "reflect"
OpenInference instrumentation utilities
Stop prompting. Start specifying.
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python โ and keeps its knowledge when
423 plugins, 2,849 skills, 177 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities in the most "Code-Centric" manner. LLM As Function, Prompt As Code. ไธไธช็ฎๅ็ๆฐๅฐ
The memory system your AI agent deserves. 4-stage hybrid retrieval โ Vector + BM25 + Knowledge Graph + Neural Reranker โ in <150ms. Self-hosted, $0/query, built for agents that need to actually rememb
Security scanner for AI agents, MCP servers and agent skills.
The Best AI Agent Framework for Agent Collaboration.
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Az
Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama).
Custom plugins for hermes-agent โ goal management, inter-agent bridge, model selection, cost control
๐กโ๏ธAI-Powered Penetration Testing Framework with automated vulnerability scanning, multi-agent system, and compliance reporting๐กโ๏ธ
Self-evolving deep research system for Claude Code. Zero API keys.
Benchmark for vector databases.
Prompt Driven Development Command Line Interface
๐ฅ An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
A multi-agent LLM system for detecting and resolving cognitive dissonance.
Description: Self-hosted graph-based associative memory for personal AI agents. Spreading activation, emotional weighting, zero LLM cost.
A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution โ inspired by Herme
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
A self-improving AI agent that learns from experience. Runs entirely on a local 9B model. Security by absence โ dangerous capabilities were never built.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
A Python framework for building flexible, multi-provider AI applications and Discord bots using OpenAI and Cohere.
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
๐ฆพ A productionโready research outreach AI agent that plans, discovers, reasons, uses tools, autoโbuilds cited briefings, and drafts tailored emails with toolโchaining, memory, tests, and turnkey Dock
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different