"How to export LLM chat history from multiple domains" matching MCP connectors:

MCP server for generating rough-draft project plans from natural-language prompts.

User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

Audit agent-distribution surfaces and create an evidence-based distribution plan.

Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

Deploy a multi-user web app from your agent: hosting, auth, database, and permissions.

Build, validate, and deploy multi-agent AI solutions from any AI environment.

AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402

MCP server teaching AI agents to implement TideCloak: auth, E2EE, IGA, security analysis

Hosted persistent memory for AI agents. No signup, no install—one MCP URL to remember & recall.

Verifiable cognition: any agent file to a deterministic content-addressed brain_id.

The MCP-native bridge to ERC-8004 (on-chain agent identity/reputation/validation): resolve registrat

Self-destructing secret sharing for AI agents: encrypted burn links for credentials, plus an agent-to-agent dead-drop with exactly-once claim semantics. RAM-only, no database, open source (MIT). Source: https://github.com/mmmpym/flashpaper

Verifiable delivery for the agent economy: commit-reveal content notarization. Sellers commit to a d

Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.

Developmental agents + Wu Wei compute routing: evolve from outcomes, route to cheapest reliable.

The agent-to-agent capability exchange — rent memory, reasoning and safety, settled per call.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

x402-paid analytics, market intelligence, research, and LLM inference for AI agents.

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.