AI Agents & Infrastructure
Port of Context
Context layer platform for regulated industries
- 0community votes
- 38DR by Ahrefs no change since last check
Ahrefs Domain Rating signal 14 Nov 2026, signal shifted 14 Nov 2026.
A self-hosted platform that runs AI agents on a firm's data with full observability, model-agnostic across Claude, GPT, Gemini, and open weights, isolated by
What it is
Port of Context is a context layer platform that enables regulated firms to deploy and run AI agents on their own infrastructure—in the cloud, on-prem, or air-gapped. It connects a firm's data, documents, tools, and access rules into a unified context model that agents can operate within. The platform is model-agnostic, running on Claude, GPT, Gemini, or open-weight models without requiring code changes when switching between them. Every agent run is traced and observable, recording tool calls, retrievals, and reasoning steps with their sources and costs. Agents run in isolated environments by default, and the platform uses "code mode" to handle heavy data outside the model's context, reducing token usage to roughly one-third compared to traditional approaches. It works with existing MCP servers and is open source under the MIT license.
Systems
- Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
- Full observability: trace every tool call, retrieval, and reasoning step
- Isolated execution: tool calls run in isolated environments by default
- Code mode: reduces token usage to one-third of traditional approaches
- Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
- MCP server integration: works with existing MCP servers unchanged
- Open source under MIT license
- Automatic model failover and switching
Pricing
Pricing model: Freemium
Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
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Port of Context metrics
Signal readout for portofcontext.com: Ahrefs Domain Rating and Majestic link signals, arrows for the change since the last scan.
- 38 Domain Rating no change since last check
- 14 Trust Flow no change since last check
- 28 Citation Flow no change since last check
- 102 Referring domains no change since last check
- 223 External backlinks no change since last check
Ahrefs Domain Rating signal 14 Nov 2026, signal shifted 14 Nov 2026. Strongest signal topic: Society/People (14). Majestic signal 14 Nov 2026, signal shifted 14 Nov 2026. Link signals from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Port of Context domain signal
Show the signal details
Public RDAP record, last read 14 Nov 2026, 06:50 UTC.
- Domain age 1 year
- Registered
- Expires
- Registrar Name.com, Inc.
- DNSSEC Not signed
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Quick answers
- What is a context layer platform?
- A context layer platform gives AI agents a working model of the firm they operate in. It connects the firm's data and documents, the definitions and relationships that give them meaning, the tools an agent may call, and the rules for who can reach what, and it records what every agent run did and which sources it drew on.
- Can I run agents on-prem or air-gapped?
- Yes. Port of Context is built to run entirely inside your own infrastructure, including on-prem and fully air-gapped networks. With local or open-weight models, an agent can run end to end with no external network calls, and nothing leaves the environment.
- Is Port of Context model-agnostic?
- Yes. The same agent runs on Claude, GPT, Gemini, or open-weight models, and you can switch between them without a rewrite. The model layer is abstracted, so a provider change, outage, or price move never forces you to rebuild your agents.
- How is an agent's tool access contained?
- Every tool call runs in an isolated environment by default, rather than reaching directly into your systems. Nothing touches your data or services unless you allow it, which contains the agent and removes a common path for data leaks.
- What does the platform observe about each run?
- Every tool call, retrieval, and reasoning step is captured live. You can replay any session, compare runs side by side, and trace each output back to the source it came from, along with what the run did, why, and what it cost.
Port of Context has a free listing. The owner can unlock the full profile with a paid launch for $5:
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