a78506f6a3 fix(agent): use canonical assistant history format in subagent_runner (#606)
build_native_assistant_payload in subagent_runner.rs serialised the
assistant tool-call message using {"text": …, "tool_calls": [{
"type":"function","function":{…}}]} — two mismatches vs the format
parse::build_native_assistant_history produces and the backend
jinja template expects:

  1. "text" instead of "content" — the downstream convert_messages
     parser looks for "content" to detect assistant-with-tool-calls
     messages; "text" is not recognised, so the message is treated
     as a plain assistant message.
  2. Nested {"type":"function","function":{"name":…,"arguments":…}}
     wrappers instead of flat {"id":…,"name":…,"arguments":…}.

Result: every sub-agent that made a tool call and entered iteration
1+ hit a 400 from the backend: "jinja template rendering failed.
Message has tool role, but there was no previous assistant message
with a tool call!" — the backend saw a role=tool message without a
recognised assistant-with-tool-calls predecessor.

The fix replaces the broken inline copy with a direct call to
parse::build_native_assistant_history (the same serialiser
tool_loop.rs uses successfully for the orchestrator's tool calls).
The dead build_native_assistant_payload function is removed.

Introduced in PR #474 (6465f3d3, 2026-04-09). Latent since then
because the orchestrator self-heals by retrying via other agents.

E2E verified: skills_agent with gmail toolkit now progresses through
iterations 0→1→2 successfully (previously died at iteration 1 with
the 400 error every time).

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 18:25:03 +05:30
2026-04-16 04:35:49 +00:00
2026-03-26 17:04:46 -07:00
2026-04-16 04:35:49 +00:00
2026-02-20 13:03:15 +04:00
2026-02-20 13:03:15 +04:00

OpenHuman

The age of super intelligence is here. OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.

DiscordRedditX/TwitterDocs

Early Beta Platforms: desktop only Latest Release

The Tet

"The Tet. What a brilliant machine" — Morgan Freeman as he reminisces about alien superintelligence in the movie Oblivion

Early Beta — Under active development. Expect rough edges.

To install or get started, either download from the website over at tinyhumans.ai/openhuman or run

# For MacOS/Linux
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash

# For Windows
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex

What is OpenHuman?

OpenHuman is an open-source agentic assistant that is designed to integrate with you in your daily life. Here's what makes OpenHuman special:

  • Simple, UI-first — A clean desktop experience and short onboarding paths so you can go from install to a working agent in a few clicks, without a config-first setup. You don't need a terminal to run OpenHuman.

  • One subscription, many providers — You only need one account to get access to many agentic APIs (AI Models, Search, Webhooks/Tunnels and other 3rd party APIs etc..), simplifying the experience to get a powerful agent going.

  • Rich Skills — Plug into Gmail, Slack, Notion, and the rest of your stack via rich, feature-backed skills. Connections are typically one click through setup wizards instead of wiring APIs by hand. Workflow data is kept on device, encrypted locally, and treated as yours: encryption and sensitive context stay on your machine. Webhooks give instant feedback into the agent when external systems or skills emit events, so the loop stays tight without constant polling.

  • Local knowledge base — Built from your data and your activity. How you work across tools, sessions, and connected services—so the agent gets rich, workflow-aware context, not a one-off chat transcript. Everything is stored on your machine and compounding over time without becoming a cloud dossier. Channels, skills and ongoing conversations feed the same loop so day-to-day context does not reset every session.

  • Local AI model — The Rust core exposes local AI paths (and the desktop bundle can ship local/bundled runners where applicable) for the workloads above—vision snippets, speech helpers, summarization, tooling—so sensitive steps can stay off the cloud when you choose.

  • Deep desktop integrations — OpenHuman is a native desktop assistant, not a web-only chat: memory-aware keyboard autocomplete, voice (STT listening and TTS replies), screen intelligence that understands what is on screen and feeds your local context, plus windowing and OS-level permissions—so the agent meets you on the machine, not trapped in a browser tab.

Architecture: docs/ARCHITECTURE.md. Contributor orientation: CONTRIBUTING.md.

OpenHuman vs other agents

High-level comparison (products evolve—verify against each vendor). OpenHuman is built to minimize vendor sprawl, keep workflow knowledge on-device, and ship deep desktop features—not only chat.

Claude Code/Cowork OpenClaw Hermes Agent OpenHuman
Open-source: Is the codebase open to review? 🚫 Proprietary client MIT License MIT License GNU License
Simple: Is it simple to get started? Simple Desktop App + CLI ⚠️ Terminal first and often complex ⚠️ Terminal first and often complex Simple, Clean UI/UX. Get started within minutes
Cost: How expensive is to run? ⚠️ Subscription + add-on tool/API costs ⚠️ Tied to models & hosting you choose ⚠️ Tied to models & hosting you choose Cost optimized with the option to run many things locally for free
Memory & Knowledge Base (KB): Does the agent know you and your world? Built-in memory; mostly chat/session scoped ⚠️ Has a local memory but often needs plugins for richer behavior Self-learning / task loops (typical) 🚀 Local KB + Self-learning from your activity & data (GMail, Notion etc... via skills) & prompts
API spagetti: How complex is it to hook mulitple features together? 🚫 Claude bill + often extra keys for MCP/tools 🚫 BYOK / multi-vendor common 🚫 Multiple providers common One account get access to many bundled platform APIs
Extensibility: Can you add rich features into it? MCP (different model than sandboxed skills) Plugin Architecture (SKILL.md) Plugin Architecture (SKILL.md) 🚀 Rich Skills with ability to have realtime updates, local DB & more
Desktop integrations: Can it integrate into your desktop completely? ⚠️ Desktop app & access to folders ⚠️ Often lighter native surface ⚠️ Often lighter native surface STT, TTS, screen intelligence, memory-aware autocomplete and a whole lot more

Contributors Hall of Fame

Show some love and end up in the hall of fame

OpenHuman contributors
S
Description
No description provided
Readme GPL-3.0
214 MiB
Languages
Rust 59.1%
TypeScript 37.9%
JavaScript 1.6%
Shell 1.2%
CSS 0.1%