TRANSMISSION LOG / 003
Writing makes the evidence inspectable.
Bilingual records on agent search, collaborative memory, product method, and systems practice.
My Self-Evolving AI Was Running on Empty — and the Cron Report Said Everything Was Fine
A full postmortem of an idle AI self-evolution pipeline: 616 backlogged sessions, watchdog sessions scanned on repeat, and a bug that froze knowledge growth for three days.
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How to Choose an AI Agent Framework in 2026: Framework, Platform, Runtime, or Tool Layer?
How should you choose between LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, Google ADK, Dify, and DeepSeek Harness? This guide compares control flow, recovery, approvals, deployment, and tool boundaries instead of ranking stars.
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The Next Agent Harness May Not Need a Core That Can Never Be Replaced
DeepSeek Harness is MIT-licensed and open source. Its model adapters, tool registry, session log, and even agent loop sit behind plugin boundaries. This code-led analysis examines the benefits, costs, and current limits.
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MCP Tool Output Too Large? A Reversible Path to 76% Fewer Normal-Path Tokens
Why do MCP tool catalogs and large results consume so much context? Compare progressive discovery, code-side filtering, and reversible delivery using a 24-task benchmark and an 8,000-row stress test.
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2026 AI Agent Ecosystem Landscape: From Frameworks to Platforms to Search
GitHub's top agent frameworks, 2,781 MCP Servers, the open/closed product divide, and one overlooked pain point: Agent Search.
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Chinese AI Agent GitHub Projects in 2026: A Dated Star Snapshot
How many GitHub stars do OpenClaw, Dify, MetaGPT, and other Chinese-rooted or Chinese-ecosystem agent projects have? This dated snapshot maps nine projects to their actual ecosystem roles.
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Letting AI Curate Agent Skills: Why Zero Changes Can Be the Right Result
A curator reviewed the candidate set around 73 active skills and made no merge or archive. Pinned boundaries, full reads, backups, and recovery matter more than a deletion quota.
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Stars Are Not Adoption: Monitoring Open-Source MCP Growth and Search Quality
How should an open-source MCP project monitor GitHub, npm, clones, search quality, and discovery? Keep the signals separate and preserve each failure state.
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Agent Search Is More Than a Search API: An Evaluation Framework
How should you evaluate agent search? Use query contracts, multi-source routing, visible failures, evidence budgets, reproducibility, and operating boundaries.
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I Gave GPT‑5.6 Sol a 2,500‑Line Project and Asked It to Refactor Everything. 261 Files Later…
Using OpenAI's flagship model to refactor Agent Search MCP v3.2 — what worked, what didn't, and what 29,000 lines of AI‑assisted code change actually look like.
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Free Tavily Alternative: Agent Search MCP Web Search
Looking for a free Tavily alternative? Agent Search MCP is a free-first, self-hosted MCP web-search router with zero-key English and Chinese sources and compact, traceable multi-source evidence.
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MCP Slim Guard Alpha: 76% Fewer MCP Tokens with Exact Recovery
A launch note on MCP Slim Guard Alpha: tool discovery, one-call delivery, read_result recovery, the 24-task benchmark, and current host support.
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Selected by You.com: How a Bot PR Became an Architecture Validation
You.com scanned 93 OSS AI agent projects to promote their search API. agent-search-mcp won the MCP search category. How a growth-hack PR turned into an unexpected architecture endorsement and market positioning report.
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Silent Jobs: Building a Health Check System That Produces Zero False Positives
An audit of 37 cron jobs found 2 that never succeeded, 4 that never ran, and a daily health check that had been alerting on the same non-existent problem for weeks. This is the story of redesigning from component-declared checks + Dead Man's Switch to eliminate false positives at the source.
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Trace → Fix → PR: Building an Agent Self-Healing Pipeline in Three Phases
Inspired by PostHog's Self-driving mode, this three-phase pipeline closes the loop from trace error detection to GitHub Draft PR -- Trace Healer, AutoFixHook, and AutoPRBot.
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Project Documentation for AI Agents: Agent Workspace RefArch in Practice
AGENTS.md + HANDOVER.md + three-layer architecture + ARID principles. Anthropic's progressive disclosure, OpenAI's agents.md, plus our own context engineering experience — all blended into a documentation standard designed for AI agents.
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Persistent AI Code Teams: Maker/Checker Architecture in Production
Beyond MetaGPT's conversational multi-agent collaboration — persistent Maker/Checker teams. Pi writes code, Hermes orchestrates reviews, skills accumulate across projects. L3 quality gates, defect pattern libraries, Checker self-calibration — real data from 2 full cycles.
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Feeding 275 Documents to an AI Agent: Knowledge Base Structure Design in Practice
Preparing a knowledge base for AI Agent ≠ dumping documents into a vector database. 275+ documents, 6 bundles, 16 types — how I designed a knowledge system that AI agents can actually navigate, and the organizational principles learned along the way.
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Build a Free AI-Powered QQ Bot: Complete NapCatQQ + LLM Integration Guide
QQ group chatbots that actually work. Step-by-step guide to building an open-source AI QQ bot with NapCatQQ, LLM agent loop, and multi-engine search. No cloud costs, full control.
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AI Agent Self-Evolution: Mining 196 Sessions into Reusable Skills — Architecture Deep-Dive
Stop your AI from repeating mistakes. A production pipeline that mines agent chat history to extract reusable skills — trajectory mining, parallel analysis, skill consolidation. From 196 sessions to a self-improving system.
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Adversarial Reviewers: A System for AI Auditing AI
A three-persona review system—Saboteur, New Hire, and Security Auditor—for auditing AI-generated code and skills, with forced discovery, cross-escalation, and a three-layer false-positive filter.
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Bio-Inspired Agent Self-Evolution: From MAP-Elites to Immune Memory
A survey of evolutionary concepts from biology, physics, and mathematics applicable to AI agent self-evolution—Baldwin effect, MAP-Elites, artificial immune systems, free energy principle, novelty search—and how to implement them in practice. Includes EvoMap case study and latest paper analysis.
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Adversarial Review + Property-Based Testing: Let AI Find Logic Bugs in Your Code
Integrating Anthropic's agentic-pbt research into our adversarial code review system: using Hypothesis to auto-derive invariants and search for counterexamples, catching pure logic bugs that security, design, and runtime reviews miss.
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OKF Knowledge Conversion Guide: What I Learned From 270 Documents
A real-world guide to standardizing knowledge documents for AI agents using Google's Open Knowledge Format (OKF). Covers conversion challenges, automation, and real results.
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Agent Self-Evolution: From Half a Year of Practice to a Trajectory Mining Pipeline
A hands-on account of building a self-evolving agent system on Hermes Agent: from surveying 8 papers to shipping a 4-agent pipeline, from the symbol-vs-parameter debate to the Executor-Curator separation architecture, from 196 sessions of chat history to automated intelligence extraction.
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AI Agent Search API Buyer's Guide: Brave vs Tavily vs Exa vs DDG
8 search APIs compared on pricing, speed, and reliability. We tested them so you don't have to. Includes free alternatives that save $30+/month on agent search costs.
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Three Lessons Claude Tag Teaches Your Local Coding Agent: Ambient, Memory, Identity
Anthropic's newly launched Claude Tag isn't just another Slack bot. Its three core design principles — ambient intelligence, context accumulation, scoped identity — can transform your local coding agent today. Here's how I did it.
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I Built a Memory System for My AI Agent: From ACE Paper to Production-Grade Loop
My AI coding agent had amnesia. Every new session was a blank slate—forgetting completed tasks, relearned pitfalls, and never updating its own skill library. Over a weekend, I built a complete context engineering system based on two top-tier papers. Result: 84% reduction in skill descriptions, 16 cron jobs running autonomously, 5 draft skills auto-generated.
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MCP Search Ecosystem Deep Dive: Out of 2,781 Servers, Not a Single Free One Works Well
Analyzed 100+ MCP search servers — paid ones work great but cost money, free ones are either low-quality or unstable. This gap is the biggest opportunity in the ecosystem.
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Agent RAG Is More Than Vector Search: Hybrid Retrieval Architecture in Practice
Skill retrieval is itself an RAG system — using retrieved skills to enhance an agent's generation capabilities. This article breaks down the implementation and trade-offs of dual-path hybrid retrieval.
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AI Agent Amnesia: Every New Session Starts From Zero
> Claude Code / Codex / Cursor starts as a blank slate every session. It's not the model's fault — you haven't given it a memory system. A three-layer architecture + lifecycle hooks to make agents remember.
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After Reading Skill-MAS: How Far Is Your Skill System from 'Auto-Evolution'?
arXiv 2606.18837 tells us: the orchestration capability of a Meta-agent can be written as an auto-evolvable skill text. And we already have 56 skills, a compound-system, and several agent frameworks — how do we play this hand?
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AI Agent Skill Self-Evolution: Automated Learning Without GPU
Make your AI agent skills evolve automatically — learning from failures, mining patterns, and adapting without a GPU. Production-grade skill evolution system running on a $5 VPS.
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Giving Hermes Agent an 'External Enhancement System': Deep Transformation of the Memory System and Skill System
A complete practice record of AI Agent memory management + Skill self-evolution + automated maintenance. Without modifying Hermes core code, using external plugins to make the Agent smarter with use.
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Training Agent Skills Like Neural Networks: A Practical Guide to SkillOpt Integration
A complete practice of integrating Microsoft SkillOpt with Hermes Agent
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Vercel eve: When an Agent is No Longer Code, But a Directory
An in-depth deconstruction of the design philosophy behind Vercel's newly released AI Agent framework eve — why it defines an Agent as a filesystem rather than a code API, and how this fundamentally differs from other mainstream frameworks.
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Golden Data-Driven Automatic Evaluation Pipeline
Automatic evaluation is the foundation of optimization — without evaluation, optimization is like a blind man groping an elephant.
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From Rules to Hybrid ML: SAG Auto-Tuning and Optimizer Practice
> SAG retrieval has 7 hyperparameters — manual tuning is not feasible. We solved this with a three-layer progressive optimization approach.
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Agent Search MCP: A Free Multi-Source Search Engine for AI Agents
A free multi-source search engine for AI agents — 7-engine aggregation, multi-source verification, token optimization, built-in safety. Architecture and implementation from zero to v2.1.0.
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Building Baby Harness: A Self-Evolving AI Agent Task Framework
Why build a lightweight autonomous agent framework, and its architecture — zero external dependencies, 1500 lines of Python, 16 modules, 148 tests.
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