VoicEra
A complete voice AI building block with telephony integration, featuring real-time speech-to-text, text-to-speech, and LLM-powered conversational agents.
Not yet testedsource: GitHubhomepagePythonApache-2.0commit 2960b2818576
Python, Apache-2.0 licensed. The project labels itself: ai calling, conversational ai, inbound calls, language ai, local llm, no code, on prem voice agent platform and open source.
VoicEra has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
ai-callingconversational-aiinbound-callslanguage-ailocal-llmno-codeon-prem-voice-agent-platformopen-sourceopen-source-voice-aioutbound-callspipecatpythonself-hostedtelephonyvoice-aivoice-ai-agentsvoice-ai-platform
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/voicera)Questions
- Does VoicEra run?
- VoicEra has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test VoicEra?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for VoicEra?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.