Free DeepSeek — AI API Proxies tool screenshot
AI API Proxies

Free DeepSeek: Best AI API Proxies for Developers in 2026

8 min read·

Free DeepSeek turns DeepSeek web sessions into OpenAI, Anthropic, and Gemini-compatible endpoints with per-account concurrency control, hot-reloadable admin config, and a Go runtime that is simple to deploy.

Pricing

Open-Source

Tech Stack

Go backend, React WebUI, Docker

Target

developers building LLM gateways, plus indie hackers and platform teams

Category

AI API Proxies

What Is Free DeepSeek?

Free DeepSeek is one of the best AI API Proxies tools for developers building LLM gateways. Built by MrFadiAi, it converts DeepSeek Web Chat into OpenAI, Claude, and Gemini-compatible APIs, and the project exposes 10 model variants, admin controls, and health probes out of the box. If you need a local or containerized bridge between DeepSeek accounts and standard SDKs, Free DeepSeek is the right shape of tool.

The value is straightforward: keep your app talking to familiar /v1/* or Anthropic-style endpoints while Free DeepSeek manages account selection, token refresh, and request shaping behind the scenes. That makes it useful for backend engineers who want one integration path for multiple client libraries, plus teams that need a self-hosted gateway instead of another SaaS layer.

Quick Overview

AttributeDetails
TypeAI API Proxies
Best ForDevelopers building LLM gateways, plus indie hackers and platform teams
Language/StackGo backend, React WebUI, Docker
LicenseGNU AGPL v3.0
GitHub StarsN/A
PricingOpen-Source
Last ReleaseN/A

Free DeepSeek is not just a thin reverse proxy. It includes a model mapping layer, admin API, concurrency governor, and a browser-based dashboard, so it behaves more like a self-hosted control plane than a one-off script. The stack is intentionally small: Go for the server path, React for admin UX, and a Docker path for teams that want repeatable deployment.

Who Should Use Free DeepSeek?

  • Backend engineers shipping chat apps that already use OpenAI, Anthropic, or Gemini SDKs and do not want to rewrite client code.
  • Indie hackers who need a single DeepSeek account pool with key-based access control and predictable request routing.
  • Platform teams that want account-level concurrency limits, queueing, and an admin surface for config changes without redeploying.
  • Ops-minded developers who prefer self-hosting, want LAN access, and need clear liveness/readiness checks for orchestration.

Not ideal for:

  • Teams that need a fully managed commercial API with enterprise SLA and vendor support.
  • Projects that do not have DeepSeek account credentials to supply in config.json or environment variables.
  • Users who want a no-config desktop client instead of an API gateway with admin settings and deployment knobs.

Key Features of Free DeepSeek

  • OpenAI-compatible endpoints — Free DeepSeek exposes /v1/models, /v1/chat/completions, /v1/responses, /v1/embeddings, and /v1/files. That means existing OpenAI-style clients can often switch by changing the base URL and API key header.
  • Claude and Gemini compatibility — It also serves /anthropic/v1/models, /anthropic/v1/messages, and Gemini-style generateContent and streamGenerateContent routes. This lets one gateway satisfy multiple SDK ecosystems without adding another provider shim.
  • Multi-account pool management — Free DeepSeek supports email and mobile login flows, automatic token refresh, and per-account selection through headers like X-Ds2-Target-Account. That is useful when you want to spread traffic across several DeepSeek sessions instead of pinning all requests to one account.
  • Concurrency control and queueing — Each account gets its own in-flight cap and wait queue, with GET /admin/queue/status for live inspection. The design avoids immediate 429 responses until total capacity is exceeded, which is better for bursty workloads than a hard fail at the first limit.
  • DeepSeek PoW implementation — The project includes a high-performance pure Go proof-of-work path. That matters because it keeps the critical request path inside the server process rather than pushing challenge handling into your application code.
  • Tool calling and structured output handling — Free DeepSeek advertises leak prevention and structured incremental output for tool calls. For apps that rely on agent-style loops, that is the difference between usable streamed output and messy partial JSON.
  • Admin API plus WebUI — The admin API covers config management, hot-reload settings, proxy management, batch testing, session cleanup, and import/export, while the /admin dashboard gives you a dark-mode single-page UI. If you are pairing this with OpenTrace, you can keep routing and tracing concerns separated cleanly.

Free DeepSeek vs Alternatives

ToolBest ForKey DifferentiatorPricing
Free DeepSeekSelf-hosted DeepSeek-to-OpenAI/Claude/Gemini gatewayDeepSeek account pooling with protocol compatibility and queue controlOpen-Source
LiteLLMMulti-provider model routingBroader model-provider abstraction and enterprise routing patternsOpen-Source / Paid tiers
OpenRouterHosted model access across many providersManaged API aggregation with minimal self-hostingPaid
OpenSwarmAgent orchestration and coordinated workflowsMulti-agent execution rather than API translationOpen-Source

Pick LiteLLM if you need a broader provider abstraction layer and already operate in a provider-agnostic architecture. It is the safer choice when your roadmap includes many vendors, not just DeepSeek.

Pick OpenRouter if you want hosted aggregation and do not want to maintain accounts, proxies, or deployment state. Free DeepSeek is better when you want control over the runtime, the account pool, and the local network boundary.

Pick OpenSwarm if the core problem is orchestration across agents rather than endpoint compatibility. Free DeepSeek sits lower in the stack, where it normalizes API traffic before your agent framework ever sees a request.

How Free DeepSeek Works

Free DeepSeek works as a translation and scheduling layer between client applications and DeepSeek web sessions. The server receives requests on familiar OpenAI, Anthropic, or Gemini-style routes, maps them to the matching internal DeepSeek flow, and then assigns the request to an available account from the pool. The central design choice is to keep the outward-facing contract stable while letting the backend handle auth, model aliasing, and session churn.

The architecture is opinionated but practical. The Go backend handles the API surface, the concurrency queue, the token refresh lifecycle, the proof-of-work work, and the admin endpoints, while the React WebUI lives in webui/ and is built into static/admin. The model catalog includes default, expert, and vision variants, with aliases like gpt-4.1, gpt-5, o3, claude-*, and gemini-* mapped automatically so client code can stay close to its original provider naming.

git clone https://github.com/MrFadiAi/free-deepseek.git
cd free-deepseek
cp config.example.json config.json
# edit config.json with your DeepSeek account credentials and API keys
go run ./cmd/ds2api

That starts the server on http://127.0.0.1:5001 by default and binds to 0.0.0.0:5001 for LAN access. On first launch, Free DeepSeek can auto-build the admin UI if static/admin is missing, so a fresh checkout does not require manual frontend setup before the API is usable.

Pros and Cons of Free DeepSeek

Pros:

  • Protocol compatibility across three ecosystems — One deployment can serve OpenAI, Claude, and Gemini-style clients without separate adapters.
  • Account pooling with scheduling — Per-account inflight caps and wait queues reduce avoidable request failures during bursty usage.
  • Self-hosted control plane — Config, session cleanup, and proxy settings live behind an admin API instead of a vendor dashboard.
  • Go runtime simplicity — The server is easy to compile, easy to containerize, and a good fit for teams already using Go in infra.
  • Built-in operational endpoints/healthz, /readyz, and queue status endpoints make it friendlier to Docker Compose and Kubernetes.
  • License transparency — The AGPLv3 license is clear and forces teams to think about redistribution and network use early.

Cons:

  • Requires DeepSeek accounts — Free DeepSeek is not a generic LLM broker; without account credentials, it has nothing to route.
  • Operational overhead — You are responsible for config, account rotation, and deployment, which is the cost of self-hosting.
  • License may be restrictive — AGPLv3 can be a poor fit for companies that do not want source-sharing obligations.
  • Feature scope is narrow — It focuses on DeepSeek compatibility, not broad multi-vendor marketplace behavior like some hosted routers.
  • WebUI build step adds first-run time — If static/admin is absent, the server triggers a frontend build on startup.

Getting Started with Free DeepSeek

The fastest path is the source install flow, because it shows the moving parts clearly and does not depend on external packaging. You clone the repo, copy the sample config, fill in account details, and run the Go entrypoint.

git clone https://github.com/MrFadiAi/free-deepseek.git
cd free-deepseek
cp config.example.json config.json
# add keys, accounts, and runtime settings
go run ./cmd/ds2api

# optional verification
curl http://127.0.0.1:5001/healthz
curl http://127.0.0.1:5001/v1/models -H 'Authorization: Bearer YOUR_API_KEY'

After startup, the admin panel is available at /admin, and the server will expose readiness plus queue telemetry for basic operations work. The only real prerequisite is a valid config.json with DeepSeek credentials and any API keys you want to use for client authentication.

Verdict

Free DeepSeek is the strongest option for teams that want a self-hosted DeepSeek compatibility layer when they already have account credentials and need OpenAI, Claude, or Gemini clients to keep working unchanged. Its best strength is protocol translation with queue-aware account pooling; its main caveat is the operational and licensing overhead of running it yourself. Use it when control matters more than managed convenience.

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