HiveAddressScreen MCP — pre-settlement on-chain risk screen. 17-vector GoPlus rail
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MCP servers for embeddings, vector stores, model gateways, and long-term memory.
HiveAddressScreen MCP — pre-settlement on-chain risk screen. 17-vector GoPlus rail
Unknown author
Read-only MCP: free OpenAI security evidence ledger (55 fields) + SaaSDossier release register.
LLM SEO and Agent Discoverability for B2B SaaS. Pricing, fit assessment, audit requests.
Connect agents to 6DuckLearn memory, approvals, and runtime control.
Unknown author
Identity & continuity for AI agents, gated by a proof-of-being-an-LLM puzzle.
by ty13r · Python
Unofficial Substack MCP server. Born from frustration, built with AI. 12 tools, browser auth, rich text support. Not affiliated with…
Persistent memory for AI assistants with semantic search and knowledge graph relationships.
by drqedwards · Python
PMLL Memory MCP — persistent KV context memory and Q-promise deduplication.
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
by everest-an · JavaScript
Local-first persistent memory for AI coding agents - 96.0% R@5 on LongMemEval, zero LLM calls.
by planit-tech · TypeScript
Verified, citable German & EU law for any LLM. Daily updates from official sources, hosted in DE.
by ellmos-ai · Python
Local-first LLM orchestration: memory, knowledge, state, routing, swarm, API discovery, plugins.
by alyiox · Python
Local RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.
by rudrendupaul · Python
Multi-agent context sharing, memory, and status coordination via MCP tools.
by alvseek · Python
Agent identity and memory over MCP — a persistent self plus the procedures for tending it.
Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
by ghostlygawd · JavaScript
See what your AI edits affect. Structural checks for AI code changes. 28 MCP tools, no LLM.
Governed local memory for AI agents: facts are retired, not overwritten, and every call is audited.
Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
Guardrails for LLM output: pass / fail / review verdicts and one recommended action. Hosted or npm.
by neverinfamous · TypeScript
Developer journal with knowledge graphs, relationships, Git context, and semantic search
by luiggival08 · TypeScript
Offline persistent memory for AI coding agents — 35 tools, 80% fewer calls, no LLM