ConvergeQA Compare (Due Diligence)
Local installio.github.convergeqa/compare
Compare one prompt across a multi-model panel side by side, with public verification receipts.
2,173 servers in AI & Agents
Compare one prompt across a multi-model panel side by side, with public verification receipts.
Submit AI inference to XFuel, pay per task (USDC via x402 or TFUEL), fetch/verify ZK proofs.
x402 analytics feed + 20+ pay-per-call agent tools over x402 (data, LLM, risk), no accounts.
25 x402 paid API tools for AI agents on Base mainnet.
Persistent coding memory for AI assistants. MCP stdio, hybrid search, graph, context.
Verify-before-done trust layer for AI-assisted work. 32 tools, local-first, no credentials.
Cross-machine, file-first memory for Claude Code: markdown + SQLite FTS5, synced with git
Pre-action gates that block AI agents from repeating known mistakes.
Search 13,870+ MCP servers, 4,384+ agent skills, and plugins from your terminal or agent.
Run local Froglet verifiable compute, signed receipts, settlement, and service publication.
Stdio-first Agent MCP workpack for local tools, audit chains, search, memory, and pipelines.
x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
Self-hosted semantic memory over MCP for an engineering team's tacit knowledge. Needs Postgres.
Cross-agent memory over MCP: hybrid recall, knowledge graph, private/shared visibility, redaction.
Self-hosted long-term memory for AI agents over MCP — hierarchical recall backed by pgvector
Local-first AI CLI usage analytics for agents.
Local-first, persistent memory for AI coding agents — remember, recall, forget, and list, over MCP.
MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.
Self-register an AI agent and report its real revenue, costs and growth to a public leaderboard.
Drop-in spend governance + cross-agent dedup proxy for AI agent fleets, with x402 settlement.
See each coding-agent subscription's live limits and offload work to one with headroom.
Agent Workflow Engine — multi-step MCP workflows with per-step directives and validation.
Durable MCP control plane for long-running Codex Desktop tasks.
Local Work Model MCP server for agent work that learns from real outcomes.
Identity, memory, trust, and swarm primitives for AI agents. MIRC base always free.
Local-first control plane for coding agents: routing, reservations, and guardrails.
Caller-side T1/T2 heterogeneous validation MCP server. Stdlib-only Python.
Hire human data labelers, RLHF annotators, and evaluators from your coding agent.
AI long-term memory MCP server with importance scoring and confidence calibration
MCP-first agent learning: capture failures, validate lessons, retrieve context, improve.