Why Cendor
Cendor is open-source governance your engineers embed in code — seven small libraries and a governed agent SDK beneath any agent framework. Spend capped before it happens. Attacks blocked before the model sees them. A receipt behind every action.
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Production plumbing for LLM applications — the unglamorous layer beneath your agent framework that controls cost, gates unsafe inputs and outputs, makes agents testable, and keeps an audit trail. Python and TypeScript. Free, open source, Apache-2.0.
One problem each: pack the prompt honestly (contextkit), shrink history reversibly (squeeze), cap spend pre-flight (tokenguard), gate attacks (guardrails), record & replay runs (cassette), keep tamper-evident receipts (acttrace), and give every tool one seam (core). Use one, or all seven — under the framework you already have.
It's the second door: start governed instead of retrofitting. Your team builds the agent on cendor-sdk and every run is budgeted, gated, audited, and replayable by construction — a working governed agent in about 10 lines, built from the same seven libraries.
It removes the four blockers between an AI demo and an AI product: unforecastable spend, injection risk, no audit evidence, untestable behavior. Your feature ships with the answers finance, security, and compliance will ask for — built in, not bolted on.
Both doors are the same seven libraries underneath — starting through either never locks you out of the other.
Door one · You already have an agent
Your team keeps its framework and its code. Engineers add small libraries underneath — no rewrite, no migration, no new platform to run.
Door two · You're starting fresh
Don't retrofit governance later — begin with it as the foundation. cendor-sdk is a provider-agnostic agent loop where every run is budgeted, gated, audited, and replayable by construction, and it grows with you: memory, retrieval, multi-agent, ten provider paths.
Which door? Have an agent → libraries. Building one → SDK. Either way your engineers decide in an afternoon — both install with one command.
Story first, result shown, no jargon — each ends with where to send your team for the deep dive.
Honest by design. Cendor produces evidence to support EU AI Act, ISO 42001, GDPR, and NIST AI RMF processes — never a compliance guarantee, never legal advice. Costs are labeled reported vs estimated, in exact decimals. Cendor is a community-maintained open-source project (Apache-2.0), local-first, with no server and no data collection — your prompts and spend never leave your stack.
Created by Raghav Mishra (PowerAI Labs). See About and Privacy.
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