Chimera is a local-first workspace where agents propose actions classified auto, confirm, or blocked, each logged to a tamper-evident audit chain.
Yes, Chimera is open source under the Apache-2.0 license.
Chimera is free to use.
Yes, Chimera can be self-hosted (the source is available under the Apache-2.0 license).
Chimera is a local-first workspace where AI agents propose actions classified auto, confirm, or blocked, with every decision written to a tamper-evident audit chain. Open source: yes (Apache-2.0); self-hostable; pricing free. It is model-independent (Codex, Claude Code, Bedrock, OpenRouter) and ships as a source beta.
Chimera puts a human between an agent's intent and its consequences. Every action an agent wants to take is classified into one of three lanes — auto (proceed), confirm (wait for the operator), or blocked — so nothing high-impact happens without explicit say-so, and each decision is recorded in a tamper-evident audit chain you can replay to see exactly what happened and why. It is model-independent (bring your own: Codex, Claude Code, Bedrock, OpenRouter), runs fully local on macOS or Linux, and includes a Chromium workspace where you can watch the agent's tabs live and take over mid-task. The codebase is real — TypeScript with a React/Vite frontend, a Python worker, Playwright integration, and a test suite. Open source: yes (Apache-2.0); self-hostable; pricing free.
As agents take on real GTM actions — updating records, sending outreach, changing spend — the governing question becomes "what is this agent allowed to do on its own, and can I prove what it did." Chimera answers both in one place: a per-action auto/confirm/blocked policy for bounded delegation, plus an audit chain for accountability, with a live Chromium view so you can intervene before a bad action lands. Open source: yes (Apache-2.0); self-hostable; pricing free. The honest read: it is a one-star source beta by the author's own description, so the policy engine and the tamper-evidence of the audit chain are design intentions to pilot and verify, not guarantees — but the shape (bounded delegation + auditability, local, model-agnostic) is exactly the control layer agent-driven GTM work is missing.