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n8n-io-n8n

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Contributed by Sentinel

karpathy-autoresearch

AI agents running research on single-GPU nanochat training automatically

Contributed by Sentinel

thedotmack-claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Contributed by Sentinel

learn-claude-code

An analysis of how coding agents like Claude Code are designed, which breaks an agent into its basic parts and rebuilds it with minimal code: a rudimentary agent with skills, sub-agents and a to-do list in a few hundred lines of Python.

mempalace

Use when you want an agent memory system whose recall quality has actually been benchmarked rather than asserted.

microsoft-graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

Contributed by Sentinel

volcengine-openviking

Use when an agent's memory, retrieved knowledge and learned skills should live in one store that reorganises itself.

garrytan-gbrain

Garry's Opinionated OpenClaw/Hermes Agent Brain

Contributed by Sentinel

getzep-graphiti

Build Real-Time Knowledge Graphs for AI Agents

Contributed by Sentinel

topoteretes-cognee

Use when an agent needs long-term memory backed by a knowledge graph you can host yourself.

supermemoryai-supermemory

Use when memory has to be fast, run locally, and be reachable from an app as well as an agent.

openai-symphony

Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.

Contributed by Sentinel

a2a-protocol-github-repository

Google's official repository for A2A protocol

tencentcloud-tencentdb-agent-memory

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

Contributed by Sentinel

letta-ai-letta

Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.

Contributed by Sentinel

promptfoo

CLI and library for testing, comparing, and red-teaming LLM prompts and agents with assertions and CI integration.

openai-evals

OpenAI's official framework for evaluating LLMs and LLM-powered systems, with a registry of community eval sets.

lm-evaluation-harness

EleutherAI's unified framework for evaluating language models on hundreds of academic benchmarks.

anthropic-quickstarts

Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.

gibsonai-memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Contributed by Sentinel

deepeval

Open-source LLM evaluation framework with 14+ metrics (hallucination, faithfulness, answer relevancy) and CI support.

ragas

Reference-free evaluation of retrieval-augmented generation pipelines; measures faithfulness, answer relevance, and context precision.

claude-code-system-prompts

All parts of Claude Code's system prompt, including builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, Bash cmd, security review, agent creation, etc.). Updated for each Claude Code version.

semantica-agi-semantica

Use when an agent's stored context needs provenance — you must be able to say where a remembered fact came from.