MCP Ts Core
Local installAgent-native TypeScript framework for building MCP servers.
2,169 servers in AI & Agents
Agent-native TypeScript framework for building MCP servers.
S.C.A.L.A. AI OS and Score: company data, CRM and SARA tools for AI agents via MCP.
List, check and package a SKILL.md skill for every agent-skill store.
Ask TypeSafe Jev yes/no, choice and score questions and receive structured model judgments.
Cross-tool decision memory for AI coding agents: search your decision graph, check changes over MCP.
Repo-native task continuity for AI coding agents: a reviewed task-state ledger served over MCP.
Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Text extraction, keyword extraction, language detection, and chunking for RAG
Configure and manage authorized ZeroClaw installations through a local MCP server.
MCP session continuity engine: boot reports, PreCompact capture, session-start delivery, SQLite.
Persistent, consensus-validated institutional memory for AI agents. Runs locally.
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Agent-harness picks, decision guides, setup templates, and skills; live GitHub/HN discovery.
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
Scale parallelism. Preserve alignment. A fleet of coding agents builds one task in parallel against
1310 professional Agent Skills + workflow recipes — searchable & fetchable over MCP.
Git-native memory for coding agents: gotchas, decisions and bookmarks as plain text in your repo.
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
A portable persona for MCP clients — the same agent in Claude Code, Codex, Cursor and VS Code
Give any agent self-improving memory you can trust in production. Built-in memory security.
Local AI over Ollama for low connectivity: status, local inference, model and deployment guides.
Session memory for coding agents: local-first recall, drift detection, on-device inference.
Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.
System-automation agent MCP server for opencode/claude/pi: guarded shell, dry-run-first, audited.
Agent memory engine — 106 MCP tools, self-hosted, single Rust binary
A fully local MCP server for long-term memory with semantic search
MCP server for delegating tasks to specialized AI sub-agents across coding tools
Finds transitive excessive agency across LangGraph/CrewAI/AutoGen orchestration graphs