MCP server for Velixar persistent cognitive context — memory, identity, graph, time, and contradiction for LLMs

AI memory system for coding agents. Local-first MCP runtime with connectors (Google Drive, GitHub, Slack, Notion), knowledge graphs, decay scoring, and multi-tier deployment. Free locally, paid Cloud for sync and teams.

MemEX memory layer — Multi-session continuity for AI systems

Claim extraction, evidence linking, and belief adoption for the Lodestar epistemic chain — the layer above the Memory Firewall. Part of Lodestar, the trust layer for AI agents.

Private, persistent personal context and memory for every AI you use.

d2qdt1

weavory.ai — Responsible-AI memory for agent swarms. Every belief signed, every decision auditable. MCP-native.

CAVE shape expectations, knowledge health and alias discovery (spec §20, §27) — EXPECTS declarations checked against the EXTENDS taxonomy, staleness, review candidates, alias disagreements, coverage, write gating, suggested ALIAS claims from string/graph

MCP server + public atlas of timeline-shift folklore, Mandela Effect reports, and collider-era myth — every claim labeled, every source graded. A cultural archive, not a proof engine. Built while the LHC sleeps (LS3, 2026–2030).

Memory kernel for a JARVIS-class personal AI assistant: immutable ledger + confidence-scored, context-scoped, decaying belief layer with provenance.

角色养成：为 Agent 赋予可养成的 AI 角色（角色扮演 + 情感陪伴）——会话级角色绑定、亲密度随对话成长、分区记忆 + 追加日志自动归档、AI 设计助手。

Will — an engine for persistent machine minds. A Will is a continuously-ticking synthetic mind built from 38 cognitive faculties, a learning agency pipeline, and a dual-process executive — deterministic, persistent, and portable (PMA).

Expose Codicil project knowledge to AI coding agents over the Model Context Protocol.

deCheem v3 for serverside use

GRAIN — an AI-interaction design system where every surface is operable by both a human and an AI through one shared vocabulary.

Pi extension that uses TypeSafe Jev to route each request into bounded verification, decomposition, or normal response policy.

Easily embeddable in-browser live streaming with React

TypeScript library for building AI agents with cognitive capabilities — perception, memory, reasoning, emotions, and adaptive learning

A Recursive Cognitive Closure Architecture for Persistent Local Agents — JS/TS SDK

Advanced mathematical AI interpretability: Category Theory, Homotopy Type Theory, Spectral Analysis, Causal Inference, Quantum Topology, and Sheaf Cohomology for WebAssembly. Implements functorial retrieval, univalence axioms, Cheeger bounds, do-calculus,