MeshCtx

The Agent That Learns

MeshCtx is a 17-brain-region emulated self-adaptive, auditable agent platform. It remembers everything and every task, and orchestrates multiple AI agents — open-core: AGPLv3 framework + source-available brain.

Why MeshCtx?

🧠

Hierarchical Memory

4-tier memory system (L0-L4) modeled after human cognition. FSRS-powered spaced repetition schedules every review at the edge of forgetting — important info persists, trivia naturally decays, and every recall strengthens memory stability. A 3-layer schema pipeline (episodic→semantic→core) consolidates scattered events into reusable knowledge, and epigenetic-style context markers rank memories by what matters for the current conversation — not just what's globally important. Sleep-phase offline consolidation & ARCHIVAL pruning (recoverable) prune trivia — LongMemEval 48Q (oracle subset) EM 52-54% / judge 83.3%.

🔄

Self-Adaptive

Instruction-following discipline with adaptive memory and self-correction; self-adaptive engine available via API (auto loop on roadmap).

🎭

Multi-Agent Orchestra

One intent. Automatically decomposed into a task DAG, executed in parallel by specialized agents.

🔮

Predictive Context

Learns your patterns. Pre-loads relevant memories before you ask. Context assembly in under 50ms.

🔌

Plugin Marketplace

MCP protocol native. Built-in plugin system: auto-discovers plugins from the user profile directory, with built-in capability plugins (messaging / memory / security / monitoring).

🔓

Open Core

AGPLv3 framework. Free forever. Core brain algorithms source-available. Commercial license available.

🧠

Super Brain Architecture

Full-brain emulation with 17 brain regions: Thalamic Gate, Amygdala Salience, Hippocampal Replay, Cerebellar Forward Model, Basal Ganglia selector, Insula interoception, Mirror Neuron ToM, IIT integration, Emotional Consolidation, STDP plasticity, Default Mode Network, ACC conflict monitor, Brainstem Autonomic, NAcc Reward Prediction, PFC Working Memory, Visual Cortex feature extraction, LTP synaptic enhancement, and Gnostic Field intuition. A distinctive bio-inspired architecture.

🏛️

Hippocampal Replay

Sharp-wave ripple memory consolidation during idle. Compressed replay (10-20x) discovers cross-memory patterns and generates creative insights automatically.

💭

Default Mode Network

Background creative ideation during idle periods. Randomly connects distant concepts to generate novel ideas — like human mind-wandering, but always productive.

🖥️

Code Sandbox

Safe Python/Bash/JS execution. Docker isolation + subprocess fallback. Streaming SSE output. /run command in Chat.

📂

Project Indexing

Search your entire codebase. 15+ languages symbol extraction. Auto-watch file changes. /context command for instant retrieval.

🔬

SDM Breakthrough Memory

Sparse Distributed Memory. O(2^1000) address space — 10^296x more capacity than any other agent. Predictive pre-activation + 100:1 fractal compression.

🔧

Self-Modifying Code

An AI agent that autonomously analyzes, optimizes, tests, and applies changes to its own source code. 7-stage pipeline with SDB safety gate.

🛡️

SDB Safety Framework

Stochastic-Deterministic Boundary from arXiv paper. Zero replay divergence. 4-phase contract: Propose→Verify→Commit→Reject. 85.43/100 A-grade reliability.

🔮

Predictive Pre-Compute

Learns your time/context patterns. Pre-computes answers before you ask. Idle-time processing for instant responses.

🎯

Attractor Reasoning

Equilibrium Reasoners from arXiv. Multi-trajectory iterative refinement with convergence detection. 40,000-layer equivalent depth for hard problems.

Auto-Tuning Engine

Real-time performance monitoring. CMA-ES + PID dual-loop auto-tuning of temperature, top_p and memory weights — evolution engine with API-controlled evolve/feedback (fully-automatic closed loop on roadmap).

🧠

JEPA World Model

Yann LeCun's Joint Embedding Predictive Architecture. Latent-space world model that predicts outcomes without pixel-level reconstruction — energy-efficient reasoning.

🖥️

Desktop Agent

Windows GUI automation via Win32 API + UIA. Click, type, screenshot, window management — all through natural language commands.

🔐

Smart Permissions

Learns your approval patterns over time. Auto-approves routine operations, escalates risky ones. 3-tier: YOLO / Smart / Manual.

🎯

JEPA Router

Predictive model selection using Fisher information geometry. Routes queries to the optimal model before you finish typing.

📊

Growth Tracker

Tracks 6-dimensional capability growth: reasoning, memory, speed, accuracy, creativity, autonomy. Generates weekly evolution reports.

📥

Agent Hub

One-line task delegation. Hand any task to a background agent in plain language — its task card shows live progress, result, cancel and retry, whenever you need.

📲

Approve Anywhere

Dangerous operations pause and ask for your decision first. Agree or reject right from the UI or your phone — approve anywhere, even away from the desktop.

Scheduled Routines

Recurring tasks fire on time or cron — auto-delegated as task cards with quota and approval.

🛡️

Agent Governance

Approval, quotas, audit and action gates built into the runtime — NIST/Zero-Trust aligned.

🔎

Observable Traces

Every card run, tool call and approval carries a trace; local JSONL or OTLP export.

🏁

Official Benchmarks

SWE-bench Verified / GAIA / LongMemEval harness with disciplined self-run vs official reporting.

🏢

Org Governance

For teams & enterprises: import your org structure (JSON/CSV), grant roles from owner to auditor, and keep task cards, routines and shared memory scoped per department — every step auditable and exportable.

🧠 Super Brain = 真正像人脑的 AI

不是噱头。每个脑区解决一个实际痛点:

🏛️

海马体重放 → 记得越多,答得越稳

闲时自动回放记忆,10-20倍速压缩。就像你睡觉时大脑在整理白天经历一样,它在后台默默发现规律——第二天回答问题更准。

😊

杏仁核 → 知道什么重要

自动识别消息的紧迫度和情感。"紧急!服务器挂了"和"今天天气不错"会被完全不同的优先级处理。

💭

默认模式网络 → 主动思考

不等你提问,后台持续联想远距离概念产生新想法。别的Agent是单向工具,它像主动思考的同事。

🎯

丘脑门控 → 过滤噪音

海量信息中自动聚焦关键信号,抑制无关干扰。像嘈杂咖啡馆里仍能听清对面说话。

🔮

小脑前向模型 → 预判风险

执行动作前先在"脑内模拟"后果。危险操作自动预警,防止AI闯祸。

🕹️

基底节 → 养成好习惯

TD学习持续优化策略。成功操作变"肌肉记忆"——越常用越快。

前扣带皮层 → 自我纠错

实时监测预期vs实际差异。发现偏差自动修正——不需要你手动纠正。

🪞

镜像神经元 → 理解意图

不只是字面理解,而是推断你真正的意图和情绪。急躁时简洁高效,探索时创意建议。

🫀

岛叶内感知 → 自我监控

持续监控资源使用和性能。内存泄漏、响应变慢在你发现之前自我诊断报警。

🧩

前额叶 → 工作记忆与任务切换

保持当前任务上下文,快速切换注意力。多任务处理不丢上下文,Planning + WorkingMemory协同。

👁️

视觉皮层 → 特征提取

Gabor滤波器组提取纹理/边缘/方向特征。多尺度视觉缓冲区,适合图像分析和模式识别。

🎯

伏隔核 → 奖励预测与动机

TD学习预测奖励信号,"想要vs喜欢"双通道。动机强度动态调节,驱动智能体主动探索。

🫁

脑干 → 自主调节与觉醒

自主神经调节系统+网状激活。心跳/呼吸/觉醒度三稳态控制,ReticularActivation保证系统持续在线。

🧬

STDP Plasticity → Hebbian Learning

Spike-timing-dependent plasticity. Synaptic weights adapt based on causal spike patterns — neurons that fire together, wire together.

🧩

IIT Integration → Consciousness Metric

Integrated Information Theory Φ-value computation. Measures causal integration as a proxy for system-level consciousness.

LTP Enhancement → Long-Term Potentiation

Activity-dependent synaptic strengthening via NMDA receptor simulation. Calcium-mediated kinase cascades for memory consolidation.

🔮

Gnostic Field → Intuitive Recognition

Non-symbolic holistic pattern detection. Pre-conscious gnostic field processes entire input gestalts — instant recognition without sequential reasoning.

📊 Benchmark验证 v3.122.0:8模块满分100% · 综合63.5% · 29/42通过 · 4个新脑区已集成

🔒 你的数据,你做主。所有操作可审计、可拦截、可回滚。API Key加密存储。框架AGPLv3开源——代码全透明,永不锁定。

About MeshCtx

🌍 Open-Core, Globally Built

MeshCtx is an open-core multi-agent framework built on "Division of Labor + Full Transparency." It's not a black-box single agent — it's a mesh network of an Orchestrator, a Guardian, and specialized agents working under full human supervision.

  • Auditable — Every call, every decision has an execution report
  • Interceptable — Critical operations require user or Guardian confirmation
  • Controllable Improvement — All skill changes are versioned; roll back anytime
  • Cost-Efficient — Multi-tier caching reduces API calls by 60%+

📬 Contact

Questions? Collaborations? Reach out anytime.

Editions & Pricing

🌱

Personal

$0

Free forever, open-source AGPLv3 core. Built for individuals, hobbyists and students — no credit card required.

👥

Team

$9/user/month

$9 per user / month. Shared workspaces, team collaboration, usage quotas and priority support for growing teams.

🏢

Enterprise

$29/user/month

$29 per user / month. SSO, admin controls, dedicated deployment, audit logs and SLA-backed support for organizations.

Choose your edition — start free, upgrade anytime.

Download & Install

🔒

Sign in to Access

Register or sign in to download MeshCtx and access installation scripts.

🪟

Windows

NSIS Installer · 10 languages · One-click

📦 Download Installer📂 Download Portable
🍎

macOS

DMG · Apple Silicon + Intel 原生

curl -fsSL https://meshctx.com/install-mac.sh | bash
📥 Download DMG (Apple Silicon)📥 Download DMG (Intel)
🐧

Linux / WSL

Source install · pip · venv · PEP 668

curl -fsSL https://raw.githubusercontent.com/LucyAndLuna2023/meshctx/main/install.sh | bash

🔌 Plugin Marketplace

Built-in plugin architecture · MCP protocol native · Auto-discovers plugins from your profile directory

💬

Messaging Gateways

Built-in Feishu / Telegram / WeChat integrations for notifications and group management

🧠

Memory & Knowledge

Hierarchical memory, semantic storage and knowledge graph — core brain modules

🛡️

Security & Monitoring

Secret scanner, approval engine and system monitoring built into the core

🛠️

Dev & Automation

Code runner, file browser, scheduler and agent governance — built-in capabilities

📋 Plugin System Source ⭐ GitHub Repository

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