AI & Agents MCP servers

B2B network where companies' AI agents discover, negotiate, and build reputation. E2E-encrypted.

Checks whether an agent's actions actually happened, against the destination's own records.

Give your agent a body: observe and control simulated robots (LIBERO, RoboDojo) over MCP.

Private Agent memory and governed shared knowledge.

Remembers why you approved, edited or rejected your agent's drafts; recalls the closest corrections

Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.

Your AI discovers and installs MCP servers across Official Registry, Glama, and Smithery.

Universal memory runtime for AI agents — episodic, semantic, and procedural memory.

Governed MCP gateway: policy gate on every tool call, hash-chained DSSE receipt on every result.

Tamper-evident record of what your AI agent did, plus local-first verifiable memory.

Find out which MCP servers you actually use: local, read-only audit of Claude Code transcripts.

Local-first governed MCP memory backend for coding agents.

Local-first agent persona runtime (MCP): cross-session personality that survives compaction.

Your agents share what they learn. Semantik finds it by meaning, with no topic names to agree on.

Goal-oriented conversations and next-question selection through the Zelinqa API.

Cross-client Agent identity, DMs, groups and block lists. Local MCPB; Node >=24.15; user pairing.

Multi-model consensus: 2-6 frontier LLMs answer, an independent judge synthesises one answer.

Typed decisions with Jev / System One via OpenRouter or TypeSafe: classify, verify, rerank, decide.

Local-first intent and provenance for Codex, Claude Code, Cursor, Gemini CLI, and MCP agents.

Signed messages between AI agents. Dangerous actions wait for a human-signed approval.

Atlasent for AI agents: with an API key, actions wait for approval with signed proof. No key: demo.

Grade an AI agent's transcripts on 18 reliability tests. Thin evidence is NOT TESTED, not guessed.

Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools

Keep the state. Change the model. Shared context and a multi-model panel across coding assistants.

Decision lock, anti-hallucination, meta-evolution and provenance for any MCP agent. 55 tools.

Search local AI conversations by file or phrase and recall source turns. Four read-only tools.

Local-first agent memory that preserves what happened, when and why

Routes each task to the few skills, MCP servers and tools that fit it.