Blog
Research, tutorials, and release notes from the team.
Build a Gateway
Create a custom gateway — connect any messaging platform to CrabTalk agents.
tutorial
Build an MCP Server
Build an MCP server as a crabtalk command — start/stop, service management, and auto-discovery.
tutorial
Multi-Agent Setup
Configure multiple agents with delegation, scoped tools, and specialized system prompts.
tutorial
Set Up Gstack
Install garrytan's AI engineering workflow agent — one command, batteries-included stack.
tutorial
Set Up Playwright
Give your agent full browser automation — headless Chromium, page navigation, form filling via Playwright.
tutorial
Set Up Search
Give your agent web search — zero API keys, one command, instant results.
tutorial
Set Up Telegram
Connect a Telegram bot to your CrabTalk agent — one command, real-time responses.
tutorial
Set Up WeChat
Connect a WeChat bot to your CrabTalk agent — real-time messaging through WeChat.
tutorial
Use Browser Tools
Give your agent a real browser — navigate pages, extract content, fill forms via agent-browser.
tutorial
Write a Skill
Create a custom skill — Markdown file, YAML frontmatter, available to all your agents.
tutorial
L0 to L5: where AI agents land on the autonomy spectrum
A survey of how AI agents are shifting from human-approved to human-supervised — autonomy levels, product positioning, and what it means for agent runtimes.
research
Why we built CrabTalk
Agent runtimes ship memory leaks, CPU spins, and privacy regressions because they're built like prototypes. CrabTalk is built like infrastructure.
release
MiroFish: swarm prediction through social simulation
We examined MiroFish's architecture — from OASIS swarms to GraphRAG extraction. How it predicts the future and where the approach breaks down.
research
Async compaction: the race conditions nobody talks about
We examined how frameworks handle background compaction. Most avoid it entirely. The ones that try it have documented race conditions and silent data loss.
research
Built-in agents: what ships in the box
We surveyed ten AI coding products to catalog their built-in agents. Three have real multi-agent delegation. The rest ship modes.
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Built-in tools: what your agent can reach
We cataloged the built-in tools in ten AI coding products. Some ship 5, some ship 20+. The differences reveal what each product thinks an agent should do.
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Hermes memory: five layers, one learning loop
We examined Hermes Agent's five-layer memory system — procedural skills, Honcho user modeling, FTS5 search — and asked what it costs to remember this much.
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Mem0: what three memory scopes actually cost
We examined Mem0's extraction pipeline, conflict resolution, and benchmark claims. Smart memory management is real — but most agents don't need three scopes.
research
Hermes Agent: what Nous Research built
We examined Hermes Agent's architecture — from Atropos RL training to persistent skill documents. Here's how it works and where it fits.
research
When agents share a channel
We tested what happens when two agents join the same group chat. Most frameworks have no built-in answer for the infinite loop that follows.
research
Built-in web search: no API keys, no setup
How we gave every CrabTalk agent web search and page fetching — with multi-engine consensus ranking, zero API keys, and zero configuration.
release
Context compaction in agent frameworks
We surveyed eight frameworks to understand who compacts what in multi-agent systems. The answer: each agent handles its own, and nobody coordinates.
research
Tool permissions and the bash bypass problem
If your agent has bash, do file-editing tools even matter for security? We surveyed eight frameworks and found the answer is architectural, not policy.
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How agents call agents
We surveyed eight frameworks to map who can call whom in agent teams — upward, lateral, recursive. Most are more restricted than expected.
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SOUL.md: brilliant idea, brittle implementation
We analyzed OpenClaw's SOUL.md personality system — what it gets right about agent identity, and why static files break under production pressure.
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How AI frameworks control model thinking
We surveyed seven agent frameworks to understand who controls reasoning depth — the framework, the API, or nobody. The answers split three ways.
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What should an agent capability bench test?
A survey of existing agent benchmarks and 120+ questions we think a practical capability bench should answer.
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How developers configure their AI agents
A survey of CLAUDE.md adoption, MCP servers, skills, and hooks — and why your prompt system decays predictably from MVP to production.
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Sandboxing AI agents: beyond Docker and WASM
How Claude Code, Cursor, Codex, and Devin gate bash access — and why Docker, WASM, and OS sandboxes are all solving the wrong layer.
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Why multi-agent workflows fail in production
A survey of real coordination failures in Claude Code, Cursor, Devin, and the broader ecosystem — and what they reveal about agent architecture.
research
Hello from CrabTalk
Introducing CrabTalk — a local-first autonomous AI agent daemon built in Rust.
release
How AI agents remember: a survey of persistent memory
We surveyed how Claude Code, ChatGPT, Cursor, Windsurf, and others implement persistent agent memory — storage formats, compaction, and retrieval.
research
Plans vs tasks: how AI agents think before they act
A survey of plan-then-execute patterns across Claude Code, Cursor, Devin, Windsurf, and Copilot — and what it means for autonomous agent design.
research