Enable automatic topic-based memory for Claude Code to maintain context across sessions and data compactions without losing information.
#ai-agents
2962 posts
🔍 Enable real-time exploration of GitHub repositories with this high-performance Model Context Protocol (MCP) server built in Rust.
Persistent memory + security layer for Claude Code (MCP plugin). Agents remember your project across sessions (~87% fewer context tokens), e...
Agent-managed markdown docs, memory, and tasks over MCP, with a native reader and kanban board for macOS, Linux, and Windows
Autonomous coding agent orchestration. Give it a goal, walk away, come back to finished work. Eval loops, multi-agent pipelines, DAG depende...
A blazing-fast, local-first AI agent ecosystem. Orchestrate local LLMs with Python, run them in a native Rust terminal, or integrate directl...
Curated awesome list for OpenClaw (formerly Moltbot/Clawdbot): skills, plugins, memory systems, MCP tools, deployment stacks, ecosystem plat...
Local-first MCP memory server for AI coding agents with compact retrieval and project/global scopes.
This workshop covers fundamentals of Building AI Agents on Akamai Cloud
Unified MCP server combining Hunter.io and Apollo for B2B lead enrichment
Workshop: Build an AI-driven geospatial app using LLMs (OpenAI/Anthropic), CesiumJS, and MCP servers — 4 hands-on labs with React + Next.js
Codebase context compiler for AI agents. Graph-ranked, token-budgeted, tier-compressed output. Smarter than the existing ones.