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Jarvis

This bridge integrates Ollama into any chat interface and lets you build your own multi-agent pipeline, including a built-in memory database.

python

Why this rank:Strong adoptionRelease freshnessHealthy release cadence

Description

This bridge integrates Ollama into any chat interface and lets you build your own multi-agent pipeline, including a built-in memory database.

README

TRION

TRION is a local-first autonomous AI system with a real runtime stack. It combines chat, tools, memory, container execution, and safety controls in one platform.

🚀 Quick Install & First Steps

Note: Make sure you have Docker installed and running on your machine before running the install script!

curl -fsSL https://raw.githubusercontent.com/danny094/Jarvis/main/install.sh | bash

Next Steps:

Open your browser and go to http://localhost:8400 to access the TRION Web UI.
Go to settings and add your preferred AI API Key securely to the Vault.
Start a chat and ask TRION to write a simple script or test the home container!

✨ What You Get

Integrated Web Environment: Full Docker integration directly within the web interface.
Interactive Web Shell: Work seamlessly with TRION via a built-in web shell connected to its container.
Expandable Skills: Easily create, manage, and execute custom SKILLS.
MCP Integration: Native support for the Model Context Protocol (MCP).
Automation / Cronjobs: Schedule autonomous tasks and recurring operations.
Model Agnostic: TRION can be powered by local AIs (like Ollama) as well as external API-based AIs.
Advanced Memory System: Features a complex multi-layered memory architecture, including Graph-based STM (Short-Term), MTM, and LTM (Long-Term Memory).
Smart Context Storage: Automatically saves context based on your chat activity.
Daily Reflection ("Dreaming"): TRION "dreams" every day at 4 a.m. – meaning it autonomously summarizes and consolidates the daily conversation logs.

🏠 TRION HOME CONTAINER

TRION lives in its own dedicated, sandboxed container—its home. Inside this secure environment, TRION can test projects, run code, and try out new things automatically. You can completely customize this workspace and even trigger autonomous container tasks using cron jobs.

🔒 Security First

Encrypted API Keys: Your API keys are entered once and securely stored using strict encryption.
Zero Raw Access: When working in the sandbox, TRION only has access to the names associated with the keys—never the raw keys themselves. It cannot accidentally expose or leak your API credentials.

Would you like to help build TRION? Here you can find more information

📸 Screenshots

🎨 Agents' Workspace Displays the daily summary & reflections.	⚙️ Backend Control Layer Visualizes the strict multi-tier intelligence flow.
🧩 Web UI Plugins Extending functionality via web-based integrations.	🔒 Security Vault Fully encrypted API keys isolated from the sandbox.
📦 Container Sandbox Safe local execution environment for skills.	💬 Main Interface Seamless and beautiful chat interaction.

🤝 Support

If this project helps you, consider supporting development:

Sponsor danny094 Kontakt: trlon.devs.dk@gmail.com

Release History

Version	Changes	Urgency	Date
1.3.2	## ✅ Phase 3.5: Chat Migration to Admin-API (55 min) - COMPLETE Goal: Move /api/chat endpoint from lobechat-adapter to admin-api Implementation: - Copied /api/chat logic from lobechat-adapter - Integrated LobeChat adapter for request transformation - Added CoreBridge integration for full pipeline - Implemented streaming support (NDJSON format) - Added error handling and logging Files Modified: ✅ adapters/admin-api/main.py → Added /api/chat endpoint (239 lines) ✅ adapt	Low	1/8/2026
v1.3.1	✅ Docker-Compose paths adjusted: ../sql-memory → ./sql-memory ../validator-service → ./validator-service/validator-service ✅ lobechat-adapter Up - Port 8100 ✅ mcp-sql-memory Up - Port 8082 ✅ validator-service Up - Port 8300 ⚠️ jarvis-webui Up - Port 8400 (unhealthy - but running) Everything in one folder! ├── sql-memory/ ├── validator-service/ ├── sequential-thinking/ ├── adapters/ ├── core/ └── docker-compose.yml ← Now with correct paths! ✅ There is no longer an error	Low	1/1/2026
v1.3.0	Major improvement: Stable graph storage and retrieval in the global layer ✅ Terminal/Sandbox removed - UI cleaner! ✅ Settings tab system built - Foundation complete! ✅ Model selection implemented - 3 dropdowns! ✅ Maintenance fully analyzed - All bugs found! ✅ 6 new MCP tools written - Production ready! ✅ Worker completely reworked - Real features instead of fake ones! ✅ Graph Store expanded - Delete operations! ✅ Deployment successful - Running without crashes! 🐛 Bugs	Low	1/1/2026
v1.2.0	Full Changelog: https://github.com/danny094/ai-proxybridge/compare/v1.1.0...v1.2.0 Update: * Bare except → Specific Exceptions * Async HTTP → httpx.AsyncClient * Requirements pin Edited files: \| Data \| status \| \|----------\|----------\| \| Icore/layers/thinking.py \| httpx.AsyncClient + spezifische Exceptions \| \| core/layers/control.py \| httpx.AsyncClient + safe_parse_json \| \| core/layers/output.py \| httpx.AsyncClient (async + sync streaming) \| \| core/bridge.py \| async for s	Low	12/4/2025
v1.1.0	# Changelog ## [2025-11-30] - Performance, Streaming & Knowledge Graph Update ### ✨ New features Streaming Support - OutputLayer now supports true token streaming - Text appears word by word instead of all at once - More natural UX, perceived faster response times Konfigurierbare Modelle - All models can be changed centrally in `config.py` or `docker-compose.yml` - No rebuild is necessary when changing environment variables Knowledge Graph System - New graph-base	Low	11/30/2025

Dependencies & License Audit

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