Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and acto...
#ai-memory
203 posts
Stack memory for context between claude code sessions
The verifiable memory cortex for AI agents: a semantic graph and vector search with zero-knowledge provenance.
職人 Shokunin 62 AI agent skills for OpenCode, Claude Code, Cursor, Windsurf. ChromaDB memory, MCP servers, declarative self-updates. Multi-...
Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory.
The system of record and control plane for AI coding agents. Keeps their memory correct, current, and safe to act on as the code moves, capt...
Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-on...
A shared brain for your AI coding tools — collects conversations, plans and memory from Claude Code / Cursor / Codex / Obsidian / Antigravit...
Your machine's AI brain. One 20MB binary gives every tool, script, and cron job shared AI memory + 136 API endpoints. Desktop app, CLI, Tele...
Dragon Brain — persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdran...
The most advanced Obsidian MCP — long-term memory for AI agents. Hybrid retrieval (BM25 + ML + BGE rerank, RRF-fused), HNSW live-update, age...