What Anthropic Just Shipped: A Developer's Tour of the New Services and Features Around Claude
Managed Agents, Skills, Agent SDK, 1M context, the Memory tool. A grounded look at everything Anthropic has quietly stacked up in the last few months.
While OpenAI and Google trade flashy announcement keynotes, Anthropic has quietly been shipping the things developers actually wanted, one piece at a time. This article is a developer's tour of what's new across the Anthropic ecosystem in the last few months.
1. Managed Agents — Anthropic hosts the agent runtime itself
Anthropic finally launched a managed service that hosts the entire agent runtime. Until now, the Agent SDK was about running Claude with tools on your own server. With Managed Agents, long-running jobs, state, and scheduling are handled by Anthropic.
I'm currently on the waitlist, but once this is widely available it changes a lot:
- Always-on agents become viable without operating any infrastructure
- Agent credits are being split out from raw API usage; Pro/Max plans are being re-shaped around this
- Solo developers can ship "real" agents without a backend team
2. Skills — Giving agents reusable capabilities
If you've used Claude Code, Skills are familiar. They've now been generalized.
You write a SKILL.md with steps and trigger conditions, and the agent invokes the right one
when it detects a match.
The point of Skills isn't power. It's keeping the prompt from bloating — only the procedure you need, only when you need it.
In my own setup, daily report submission, Notion task creation, and Yamato pickup booking are all Skills now. My day-to-day has measurably changed.
3. 1M context (Claude Opus 4.7)
Worth a quick mention because the implications are big.
- Opus 4.7 ships with a 1-million-token context window
- Large-scale refactors and "read the whole doc set" use cases are now realistic
- Combined with prompt caching, the effective price is more reasonable than the headline rate suggests
For a full review see Claude Opus 4.7 Review: The Coding Partner Hits Its Peak.
4. Memory tool — Persistence as a first-class primitive
Until recently, every project handled long-term memory differently. The Memory tool is now standardized at the API level, so an agent can remember preferences and context across conversations.
What I like:
- Memory is file-based and human-readable
- Easy to inspect, edit, delete via the API
- Works the same locally and in production
My own auto-memory setup already follows this model, so the migration cost is nearly zero — a nice win.
5. Agent SDK keeps quietly improving
The Agent SDK isn't doing big bang releases; it's doing constant, boring, real improvements.
- Parallel tool calls are now stable
- Sub-agent coordination took a noticeable step up alongside Opus 4.7
- Retry and fallback logic moved into the SDK itself
The biggest practical win: homemade retry/fallback code can be deleted.
6. File API, Web Search, Computer Use
Three general-purpose tools also matured in parallel.
| Capability | Current state | My take |
|---|---|---|
| File API | Handles large files across sessions | Great for video/PDF input |
| Web Search (built-in) | Claude searches and cites internally | Still pair it with Firecrawl-style MCP for control |
| Computer Use | Operational accuracy now usable | Real possibility of replacing some RPA workloads |
7. The pricing model is being reorganized
Less flashy but worth flagging: Agent SDK and claude -p use are moving toward a separate credit pool.
Pro and Max are being repositioned around this, and indie developers should re-check
which plan minimizes cost for their workload.
For me, Pro $20 still covers everything — but if Managed Agents goes GA, Max moves onto the table.
Takeaway — Anthropic is betting on changing how developers live, not benchmarks
Instead of chasing benchmarks, Anthropic is systematically closing the gaps that show up in production:
- Runtime for agents (Managed Agents)
- Capabilities as a standard (Skills)
- Memory as a standard (Memory tool)
- Tools that keep getting sharper (File / Web / Computer Use)
If you're redesigning your AI stack for 2026, there's now one more reason to put Anthropic at the center. Next set of announcements is rumored for fall; the big question is whether Managed Agents reaches GA there.
Related: keeping AI sessions private
Many AI features assume your session content is fine to send through unmodified network paths. A VPN keeps that metadata layer clean — especially when testing prompts with sensitive data.
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