Browse

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

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.

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.

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.

semantica-agi-semantica

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

nevamind-ai-memu

Use when one person's memory should follow them across several different agents.

evermind-ai-everos

Use when you want the agent's memory to be plain Markdown on your own disk rather than a hosted database.

memtensor-memos

Use when memory should persist across tasks and be reused, not just retrieved once per conversation.

phoenix

Arize Phoenix: open-source LLM observability with built-in evals, span tracing, and dataset curation for RAG and agents.

plastic-labs-honcho

Memory library for building stateful agents

Contributed by Sentinel

plannotator

Interactive plan review UI that intercepts ExitPlanMode via hooks, letting users visually annotate plans with comments, deletions, and replacements before approving or denying with detailed feedback.

swe-bench

SWE-bench: benchmark for evaluating LLMs on real-world GitHub issue resolution across 12 popular Python repositories.