syne — Gemini AI Agent
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    syne

    syne

    riyogarta February 17, 2026
    11 copies 0 downloads

    AI Agent Framework with Unlimited Memory — PostgreSQL-native, self-evolving, near-zero cost

    Syne 🧠

    AI Agent Framework with Unlimited Memory

    "I remember, therefore I am"

    Named after Mnemosyne, the Greek goddess of memory and mother of the Muses.

    Syne is a standalone, open-source AI agent framework built in Python. It features PostgreSQL-native memory with semantic search, an ability-based architecture for extensibility, and self-evolution capabilities where the agent can create new abilities for itself.


    Why Syne?

    Most AI assistants forget everything between sessions. They have no persistent memory, no learning, no growth. Syne is different:

    • Unlimited memory — Semantic search over millions of memories using pgvector + knowledge graph for entity-relation traversal
    • Anti-hallucination — 3-layer defense ensures only user-confirmed facts are stored
    • Self-evolving — Syne can create new abilities for itself (with your permission)
    • No runtime config files — No SOUL.md or CONFIG.yaml. All runtime behavior lives in PostgreSQL, changed through conversation
    • Near-zero cost — Chat via Google Gemini OAuth (free). Embedding + memory evaluator via Ollama (local, $0). Entire stack can run at $0/month
    • Linux-style permissions — 3-digit octal permissions (owner/family/public) for every tool and ability
    • Interactive CLI — Terminal-based chat with persistent memory and tools
    • Remote nodes — Extend Syne to multiple machines via WebSocket. Each node has its own CLI (syne cli), one shared memory for all, controlled from one Telegram bot

    Minimum Requirements

    RequirementDetails
    CPU1 vCPU minimum (2+ recommended for Ollama embedding + evaluator)
    OSLinux (Ubuntu 22.04+, Debian 12+)
    Python3.11+
    RAM2 GB minimum (Ollama loads one model at a time, ~1.3 GB per model). 4 GB recommended for smooth operation
    Storage1 GB base + ~1 GB for Ollama models (embedding + evaluator). ~2.

    Tags

    ai-agentchatbotgeminillmmemorypgvectorpostgresqlpythonsemantic-searchtelegram-bot

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