An open AI platform,
end to end.
Two flagships do the heavy lifting — Console as the multi-tenant control plane, Agent SDK as the deterministic agent runtime. A growing toolkit of libraries plugs into both. We use it ourselves. You can ship on the same stack.
Not a side project. The same stack runs Cognipeer.
Every library here exists because we needed it ourselves. We open-source the parts other teams can reuse — and keep shipping new ones as our own workloads grow.
Two products carry the platform.
Console is everything you need to run AI in production. Agent SDK is everything you need to build agents that survive contact with production. Use one, both, or layer the rest of the toolkit on top.
Cognipeer Console
An open, multi-tenant AI gateway. Operate inference, vector stores, RAG, tracing, guardrails, prompts, and quotas behind one console — with tenant isolation built in.
Agent SDK
Lightweight, message-first agent runtime. Tool calls stay transparent, long histories summarize without losing evidence, and one config controls planning, reasoning, and reflection.
reasoning config switches provider-native reasoning and post-tool reflections.state.plan; archived tool outputs still retrievable via get_tool_response.The libraries that plug into both.
Targeted libraries that extend Console and Agent SDK at specific points in the stack — and a growing set of utilities we open-source as we need them.
Console SDK
Client SDK
Agent Server
Chat UI
to-markdown
graph-builder
Actively expanding. New packages ship when our own work needs them — adapters, components, evals, recipes. Watch the GitHub org for the next release.
Browse on GitHubPick the flagship that matches your day.
Need to run AI for an org? Start with Console. Building an agent against any LLM? Start with the SDK.
Deploy Cognipeer Console
Self-host the open AI gateway. SQLite-by-default — no external database required.
Build with Agent SDK
One install, one config, any LLM. Planning, reflection, and tracing are built in.
Patterns we've shipped — now in code.
Production-tested recipes for agents, RAG, governance, and embedded chat. Each one shows the package mix and a starting point you can copy.
HR Self-Service Widget
Expense Upload & Approval Widget
Mobile Peer Embedded In The App
Website Product Advisor Widget
Quota-Aware LLM Gateway
Vector RAG Operations Control Plane
Public, opinionated, regularly updated.
What we just shipped, what's next, and what we're researching. Vote, comment, or open an RFC.
Past 30 days
- agent-sdk: runtime profiles
fast / balanced / deep / research presets — real tradeoff bundles. - console: per-project quotas
Multi-dimensional limits with automatic provider failover. - chat-ui: tool-call inspector
Inline panel for inputs/outputs, latency, partial sink failures.
This quarter
- Evals harness
Offline grading and scenario replay over Console traces. - MCP tool gateway
Quota-aware adapter for MCP servers, exposed through Console. - Edge runtime for Agent SDK
Workers-compatible build for low-latency deployments.
Next up
- Visual agent planner
DAG-style preview of agent reasoning, served from Console. - Policy DSL
Declarative guardrails composable across tenants and agents. - Mobile Chat UI parity
React Native build of the conversational kit.
Released this week
Granular notes for every library, plus migration tips when an API shifts.
All releasesReasoning presets and durable plans
New reasoning config switches between fast, balanced, deep, and research presets — real tradeoff bundles for context budget, delegation depth, and memory policy. Plans now live on state.plan instead of transient UI events.
Per-project quotas + provider routing v2
Define burst & sustained limits per project, with automatic routing across providers when a primary degrades. The gateway exposes per-tenant headers and surfaces overage events to webhooks.
Tool-call inspector + attachment streaming
A first-class panel that shows tool input/output, latency, and partial sink failures inline. Attachments stream incrementally so users see images and files appear as they're generated.