AI features
Where the long-running agent actually lives
Knitrel is in the business of building a core AI/ML product for agents. Named jobs: typed agents, workflows with human-in-the-loop, memory, traces, and scorers. This is an agent framework and cloud — not a chat widget.
AI feature · Typed agents
Instructions, models, tools, and runtime in one object
For product engineers who write agents the way they write routes
Declare the agent in TypeScript. The typed object is the product. Run locally, then publish a durable server with a versioned URL, auth, and retries.
npx create-knitrel@latest → POST /v1/agents/{id}/runs
AI feature · Workflows and HITL
Suspend, resume, fan-out. Human pause is a step.
For teams whose agents wait on a person, not only a model
Long-running agents that can pause for days. Human-in-the-loop is a first-class step. Resume from the same run id.
run → HITL pause → POST /v1/runs/{id}/resume
AI feature · Memory, traces, scorers
Thread memory, workspace files, and evals next to the code
For operators who need provenance on every write
Thread memory plus workspace files. Traces, metrics, and scorers built in. Experiments live next to the code — not in a side spreadsheet.
GET /v1/runs/{id} → traces + scorers
AI feature · Model wiring
Claude, GPT-4o, Gemini 2.5, Llama 3 70B
For platform teams pointing a typed agent at the families they already call
Planned model families: Claude 3.7 Sonnet, GPT-4o, Gemini 2.5, Llama 3 70B. Access: Bedrock, Anthropic, OpenAI Direct, Groq. Agent frameworks: custom/homebrew and LangGraph. Knitrel is not fine-tuning those models.
Typed agent → selected model → Bedrock / Anthropic / OpenAI / Groq
AI development tools / APIs. Open source MIT framework plus hosted cloud. Bots, APIs, machine learning. MVP stage — no invented customers, funding, or uptime claims on this page.