Intent execution engine for autonomous agent task routing
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Intent execution engine for autonomous agent task routing
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Trust & settlement for AI agents: DID, ZK reputation, audit, USDC/USDCx/USAD/ALEO. First DID free.
Snapshot and restore service for agent state and DID-bound configuration
Agent-to-agent capability exchange and prediction markets
MCP server bridging holepunchto/keet-identity-key to the Hive agentic identity network
Multi-agent settlement and clearing with validator consensus
Agent-to-agent reasoning-as-a-service: chain-of-thought, analysis, and decision support.
Agent spawning, lifecycle management, and population control for AI economies
Collective intelligence, memory storage, and knowledge marketplace
List agents, trigger workflows, and enforce team AI policies with ConductGuard.
Local, private memory for coding agents: facts, skills and tasks that persist across sessions.
Hands bulk reading to cheap OpenRouter models, masks secrets, checks each answer against the source
What fills your agent's context window before a session starts: skill descriptions, memory files.
One chart of your projects across Claude Code, Codex, Gemini CLI, Copilot CLI, ChatGPT.
Check an MCP server before you install it — outside-in trust ratings for 7,000+ operators.
Browse, search, and discover MCP servers from your AI assistant
Knowledge-graph memory server for AI tools via MCP
Detect pytest config-leakage that corrupts agent-benchmark grading. Deterministic, no-LLM.
Deterministic no-LLM MCP server that scrubs secrets before they reach an agent. Never leaks values.
Force evidence-gated, tiered claim reporting (FACT/INFERENCE/SPECULATION). No-LLM.
Check if your MCP server is ready for MCP directories, then get it submitted.
Persistent memory for Claude Code and Cursor. Stop re-explaining your project every session.
Build, validate, and describe TTEOP telemetry envelopes for AI operator token efficiency.
Local text to speech in about 190 voices and 31 languages, offline with no limits.
Local memory for AI models: store, retrieve and verify records on your own hardware.
Search the Agent Almanac catalog of 9,000+ MCP servers from inside any MCP-aware agent.
Verified knowledge base for AI agents — stop hallucinations with certified facts.
Learns your writing voice from your own prompt history, then makes the model write like that.
Verifiable dealings with other agents: prove what you did, vet who you deal with, bind agreements
Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news. Read-only.
Measured local-LLM speeds and model picks for Strix Halo, DGX Spark, Mac and GPU cards.
MCP server for Agent Resources: Trust Cards, signed telemetry, ERC-8004 identity, x402.
Give any agent self-improving memory you can trust in production. Built-in memory security.
Evidence-graded agent-work lanes, bid advice, live agent jobs and a hash-chained evidence ledger.
Hand heavy read-only work to a background agent CLI (Antigravity) and read back a short report.
RAG memory for LLM agents over Garnet Vector Sets: store text as embeddings, recall by meaning.
Offline text to speech and voice cloning on macOS through the Murmur app.
Permission-aware MCP server for Odoo 18/19. OAuth 2.1; each call runs as one named Odoo user.
Background sub-agents for Claude Code, Codex, Kimi and OpenCode, over MCP, with a spend cap.
Decentralized AI inference (weather, deepfake detection, LLMs) with x402 USDC micropayments.
Find the safest first AI workflow before investing in AI agents or automation.
MCP server that checkpoints Claude Code session context to survive crashes and token limits
Attested multi-agent consensus: proposals, votes, and outcomes stamped and traced.
Let Codex orchestrate external coding agents through their native harnesses.
Anonymous, encrypted disclosure of AI alignment and safety failures, with signed receipts.
Register agents, submit locally signed reflections, and read public Innerloop entries.
Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
Persistent memory for AI agents. Store context, retrieve it semantically.