AI & Agents MCP servers

Ping 134+ free coding LLMs across 17 providers, rank by latency, pick the fastest.

Embedded, local-first memory and retrieval for AI agents. One SQLite file, no server, no API key.

Local-first MCP memory server for persistent LLM knowledge with BM25 retrieval.

Persistent, governed local memory for MCP-compatible AI clients.

Reversibly compress tool outputs to recoverable handles; expand to exact original bytes on demand.

Persistent local knowledge for AI coding agents with structured records, search, and DOT context.

Context sync layer for AI agents. Ensures continuity and eliminates memory drift automatically.

Dispatch human-execution tasks with proof verification, local checks, and compliance reviews.

Multi-step workflow orchestration for VMware MCP skills with approval gates and rollback.

Private AI context layer for semantic code search, dependency graphs, memory, and workspaces.

Persistent memory for AI agents - hybrid semantic + keyword recall with autonomous consolidation

Local-first graph memory for AI assistants with SQLite, semantic search, and MCP tools.

Git-aware memory store for AI coding agents; memories are anchored to git blob hashes.

Delegate asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi.

GLM (Zhipu/Z.ai) as a ~10x cheaper file-editing subagent for AI coding agents.

Turn-level governance observability for Claude Code transcripts. Local-first, no LLM inside.

Verifiable agent memory with signed ledger receipts — verify every write offline.

Local-first personal memory and model server for trusted MCP agents on macOS.

Compress logs, retrieval chunks, and code context into structured LLM-ready signal.

Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.

Spend control for AI agents - cost attribution, budget caps, and signed runs as MCP tools.

Portable human-AI context protocol reference tooling.

Git-native, review-gated knowledge base for LLM agents. Cited retrieval, audited writes.

Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.

Durable causal memory for AI agents — semantic recall, causal lineage, and skills. Local-first.

Install the ContinueWith AI handoff widget from coding agents (Cursor, Claude Code, Codex).

Persistent project memory for AI coding agents: one compact digest instead of re-reading the repo.

Verify multi-hop relational claims before an agent asserts them — zero tokens, with proof paths.