Synorb Journal

What we are seeing, building, and learning.

Company notes, product updates, and essays from the people building the temporal context graph for reasoning systems.

Retrieval that agents can finish

Clearer pagination, clearer limits, and clearer recovery paths for the agents and users building with Synorb.

Latest posts

22 entries
Which integrations are best for Claude?
The best Claude integrations are the ones that put the right application context inside the conversation while preserving the permissions of the underlying account. Anthropic's connector documentation says connectors can let Claude access apps and services, re
What integrations are useful for Grok Bot?
The most useful Grok Bot integrations are the ones that give a persistent agent dependable context and carefully scoped tools for taking action. xAI describes Grok Bot as a system of agents that can keep working on real jobs, and its connector documentation sa
What are the best integrations for Poke?
The best integrations for Poke are the ones that turn a short message into a useful, repeatable action while keeping the connected account and the source of the answer visible. Poke's documentation describes a messaging-first assistant available through Apple
What are the best integrations for Town routines?
The best integrations for Town routines are the ones that make a recurring workflow useful without giving every routine access to every tool. Town's documentation describes an assistant that connects email, calendar, documents, and other applications, then use
Which integrations make Instinct more useful?
The most useful Instinct integrations are the ones that add the right personal context while keeping the assistant's reach understandable. Instinct describes itself as a personal assistant that understands what someone is working on and what matters to them. I
What are the best integrations for Muse?
The best integrations for Muse are the ones that give it useful personal context without turning every connected account into an unrestricted action surface. Muse is designed to work across the web and connected apps, and Meta describes it as a personal agent
Retrieval that agents can finish
Clearer pagination, clearer limits, and clearer recovery paths for the agents and users building with Synorb.
Pull it again without spending quota again
The same Manifest counts once per account within a calendar month, preserving quota for new information.
Safe retries, free polling, and errors your agents can parse
Idempotency keys on writes, machine-readable 429s, ETag/304 polling with zero quota cost, and a drift-proof OpenAPI contract — a reliability update for agent workloads.
Ticker-aware company Streams for finance agents and workflows
Resolve public-company Streams by ticker and equity ISIN, then pull source-grounded Manifests for finance workflows.
Content feeds for agents now accessible on the Smithery MCP marketplace
Smithery gives agent builders a public place to discover Synorb tools, inspect capabilities, and connect with a Synorb Key.
Beacons: reusable retrieval recipes for your agents
Configure a tracking goal once, save it as a Beacon, and let any agent re-run it on demand — across MCP and the API.
What Is a Content Feed for AI Agents?
A practical definition for developers building agents, dashboards, research tools, and content-aware apps.
When AI Agents Should Use Content Feeds Instead of Web Search
A simple decision guide for agent builders: listen first when the job repeats, search when the world is unknown.
When the Reader Changes
Cloudflare Radar crossed a consequential line: bot traffic ahead of human HTML requests. The point is what it says about the reader.
Good Search Starts Before the Query
Some people are better at Google because they know what to ask. Agents need that temporal context before they search.
Synorb on OpenBB Workspace
Six free widgets that surface filings, central bank moves, research, podcasts, and blogs—inside OpenBB.
The Future We Feed Machines Is the Future We Inherit
A machine library isn’t an archive. It’s a maintained system: versioned, queryable, and refreshed.
We Taught Machines to Read. Now We Give Them Something to Build On.
Agents can read everything, but decision-quality work demands stable, attributable context.
Our Machines Read Everything. Most of It Wasn’t Written for Them.
The web optimized for attention. Machines need structure, provenance, and refresh.
Building Machine-Scale Libraries
What it means to maintain context as an operational system—not a pile of documents.
The Context We Give Machines Determines What They Become
Model behavior is bounded by the context layer: what you feed, refresh, and defend.