Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.
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Updated
Jul 20, 2026 - Python
Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.
Repo-native shared memory for AI coding agents.
Open-source MCP knowledge mesh - self-host your second brain, expose it to AI agents, federate with peers.
🌿 Prune your AI agent's context window. Reduce token usage by 70-95% with hierarchical memory. Replace flat MEMORY.md with a bonsai-shaped domain tree. Progressive disclosure, zero dependencies. Works with OpenClaw and any LLM agent framework.
Persistent memory, architectural decision enforcement, pre-execution safety hooks, and session handoff for Claude Code. MCP server plugin for AI coding agents.
Persistent memory + security layer for Claude Code (MCP plugin). Agents remember your project across sessions (~87% fewer context tokens), every tool call lands in a tamper-evident HMAC audit chain, and skills are AST-scanned + HMAC-verified before they run. 100% local: PostgreSQL + Ollama, no cloud, MIT.
🧠 Discover and explore memory mechanisms for Large and Multimodal Language Models through curated systems, benchmarks, and research papers.
Get started with Novyx Core in 5 minutes
Local-first markdown workspace with AI memory, rollback, audit trails, knowledge graph, and desktop/cloud modes.
The project brain for AI coding agents — persistent memory + sprints + decisions + KB delivered via MCP. 20 tools, MIT licensed. Works with Claude Code, Cursor, Codex, Antigravity, Gemini CLI.
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration.
An ai agent skill for tending a WikiBonsai digital garden
Five runnable demos for building resilient AI agents with Strands Agents: chaos-test the agent's tools, gate memory writes to stop hallucinations, defend against memory poisoning and prompt injection, verify multi-step tasks against the backend, and let an agent write its own tools. Runs on OpenAI or Amazon Bedrock.
Reviewable persistent memory for coding agents, with rollback, audit trails, and knowledge graph context.
One-click Claude Desktop installer for Novyx MCP.
🧠 Enhance AI agents with long-term memory and self-evolution using this lightweight, high-performance knowledge base middleware built in Go.
Verifiable state plane for autonomous agents: memory, belief revision, rollback, audit, and MCP tools.
Local-first AI agent memory for coding projects: SQLite context, MCP server, Codex skill, Rust CLI, and optional embeddings.
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