This gives your AI coding assistants a persistent memory layer across sessions. Instead of re-explaining your project setup or architectural decisions every time you start a new chat, it stores context, learns from past interactions, and surfaces relevant information through semantic search. Works with Claude, Cursor, GitHub Copilot, and Windsurf. Think of it as building up a knowledge base that remembers your coding patterns, project-specific lessons, and technical decisions so you're not constantly repeating yourself. Useful if you're working on long-running projects where context accumulates or juggling multiple codebases that share similar patterns.
io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage
io.github.mikerawsonnz/llm-orchestration-agent
io.github.mikerawsonnz/authenticated-llm-agent
labforgedev/copilot-memory-mcp
csoai-org/agent-prompt-injection-firewall-mcp
io.github.mikerawsonnz/authenticated-multi-llm-agent