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@agentralabs

Agentra Labs

AI/ML Research
README.md

Agentra Labs hero

Open infrastructure for reliable, long-lived AI agents.
Agentra Labs develops open, modular infrastructure for AI agents that need continuity, control, and trust. We focus on persistent state, structured reasoning surfaces, and policy-enforced execution with audit-ready run trails.

Website · AgenticMemory · AgenticVision · AgenticCodebase · AgenticIdentity

Mission

Agentra Labs develops open, modular infrastructure for AI agents that need continuity, control, and trust. We focus on persistent state, structured reasoning surfaces, and policy-enforced execution with audit-ready run trails.
We focus on systems where agents remember, see, understand, and prove with continuity across sessions and environments.

Agentra Labs core pillars

Goals

  • Deliver persistent cognition through graph memory (.amem).
  • Deliver browserless web cartography and action surfaces (.avis).
  • Deliver semantic code intelligence and impact-aware automation (.acb).
  • Deliver cryptographic agent identity with signed receipts and scoped trust (.aid).
  • Keep every sister standalone-first while enabling optional ecosystem integration.

Ecosystem

Agentra Labs ecosystem flow

Collaborate

We are open to:

  • research collaborations
  • OSS contributors and maintainers
  • ecosystem integrations (MCP, desktop agents, infra)
  • sponsorship and institutional partnerships

Contact: hello@agentralabs.tech

Built by Agentra Labs

Popular repositories Loading

  1. agentic-memory agentic-memory Public

    Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.

    Rust 30 7

  2. agentic-codebase agentic-codebase Public

    Semantic code intelligence for AI agents — compile repositories into navigable concept graphs with impact analysis, coupling detection, and prophecy.

    Rust 21 6

  3. agentic-vision agentic-vision Public

    Persistent visual memory for AI agents — capture screenshots, embed with CLIP ViT-B/32, compare, recall. MCP server + Rust core library.

    Rust 12 2

  4. agentic-contract agentic-contract Public

    Policy engine for AI agents — enforceable rules, risk limits, approval gates, obligation tracking, and violation detection. One .acon file. Rust core + MCP server.

    Rust 7 4

  5. agentic-comm agentic-comm Public

    Structured agent-to-agent and agent-to-human communication — channels, pub/sub, message routing, and presence. One .acomm file. Rust core + MCP server.

    Rust 5 2

  6. agentic-planning agentic-planning Public

    Persistent intention infrastructure — goals, decisions, commitments, and strategic reasoning for AI agents

    Rust 5 2

Repositories

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