pip install connector-oss npm install connector-oss Technical Teaser · v0.1.0 connector-oss The Memory Integrity Kernel for Autonomous AI Agents Umesh github.com/GlobalSushrut/connector-oss February 2026 Abstract. Autonomous AI agents are deployed at scale across healthcare, finance, and legal infrastructure, yet their memory substrate is universally unverified, unaudited, and unisolated. We present connector-oss : a Rust-backed memory integrity kernel wherein every stored fact is content-addressed by a Blake3 CID, every operation is logged to a tamper-proof Ed25519-signed Merkle audit chain, and every agent is confined to a kernel-enforced namespace it cannot escape. The result is an agent that cannot silently alter its past. connector-oss is not a framework—it is the accountability substrate beneath frameworks. A reference implementation of 350 lines produces 105 verifiable audit entries, passes automated integrity checks, and satisfies HIPAA §164.312(b), GDPR Art. 12, SOC 2 CC7.2, and EU AI Act Art. 12 (enforcement: August 2, 2026) from a single pip install 1 The Problem: No Memory Spine Modern LLM agent stacks—LangChain, CrewAI, Auto- Gen, LlamaIndex—are sophisticated at orchestration and absent at memory integrity. The dominant memory pat- tern is a Python dictionary or a Redis TTL store: mutable, unsigned, unisolated. When the process restarts, memory is gone. When two agents share state, there is no isolation boundary. When a regulator asks “what did your agent decide, and why?” —there is no verifiable answer. This is not a framework failure. It is a substrate failure The regulatory consequences are binding: • HIPAA §164.312(b) requires audit controls exam- ining activity in ePHI systems. A Python dict is not an audit control. • GDPR Art. 30 requires records of all automated processing activities. Mutable logs do not constitute records. • EU AI Act Art. 12 (enforcement Aug 2, 2026 ) mandates automatic logging sufficient for post-hoc au- ditability of high-risk AI systems. No current frame- work satisfies this natively. • SOC 2 CC7.2 requires detection of security events. An agent with no tamper-proof log is unauditable dur- ing incidents. The gap is not in intelligence. It is in accountability infrastructure 2 Theoretical Foundation connector-oss borrows its framing from operating sys- tems theory , not from machine learning. An AI agent is a process : • An AgentControlBlock (the kernel’s PCB equiva- lent) tracks state, priority, memory quota, capabilities, and lifecycle. • A namespace is the isolated memory region the agent owns and cannot escape without an explicit kernel AccessGrant • 22 typed syscalls govern every memory operation, each producing a KernelAuditEntry • Lifecycle: Registered → Running → Suspended → Completed Agent memory is a four-tier hierarchy mirroring OS virtual memory: Tier Scope Latency Hot Working memory (context window) < 1 ms Warm Episodic (recent sessions) ∼ 1 ms Cold Semantic (long-term knowledge) indexed Archive Sealed, immutable, compliance permanent Every memory unit is a MemPacket —a 3-plane envelope: Content (payload), Provenance (source, pipeline, session, parent CID), and Authority (agent PID, namespace, access bits). Each MemPacket is content-addressed by a CID (Blake3 hash): identical content produces identical CIDs; any modification produces a detectable mismatch. 3 Architecture Figure 1 shows the five-plane architecture. Application Plane LangChain · CrewAI · n8n · custom code Action Plane (AAPI) ActionRecords · InteractionLog · Vakya grammar Trust Plane Judgment (8-dim) · RBAC · Capability delegation Kernel Plane (connector-oss core) MemoryKernel · 22 syscalls · CID · Merkle · Ed25519 Storage Plane Prolly Tree (CAS) · IndexDB · WAL · Snapshot · Sync connector-oss kernel boundary Figure 1: Five-plane architecture. The kernel plane (darkened) is the accountability boundary. Every plane above it routes through typed kernel syscalls; every plane below it stores only CID-verified, Merkle- linked blocks. 3.1 Storage Plane Content-addressed storage via Prolly Trees — deterministic, diff-able, syncable B-trees. Every block is CID-verified. Snapshots are atomic. Cross-node sync is conflict-free by construction: CIDs are glob- 1 pip install connector-oss npm install connector-oss Technical Teaser · v0.1.0 ally unique and content-derived, requiring no CRDT coordination. 3.2 Kernel Plane The 22-syscall memory OS. Core operations: MemWrite , MemRead , MemSeal , MemPromote , MemDemote , SessionCreate , AccessGrant , IntegrityCheck Every syscall produces a KernelAuditEntry with outcome and duration ( < 50 μ s overhead). Entries form an append-only log exportable as HIPAA / SOC 2 / EU AI Act compliance evidence. 3.3 Trust Plane An 8-dimension judgment engine scores every agent’s cognitive state: claim coverage, temporal freshness, evi- dence quality, access control enforcement, contradiction score, source credibility, CID integrity, audit coverage. The score gates downstream pipeline execution—it is not advisory. 3.4 Action Plane (AAPI) Every agent-world interaction is a structured Vakya (grammatical sentence): Subject (agent PID) → Verb (read/write/execute) → Object (tool/resource) → Context (session, compliance) → Evidence (CID) → Outcome. This single record simultaneously satisfies HIPAA §164.312(b), GDPR Art. 30, SOC 2 CC7.2, and EU AI Act Art. 12. 4 Three Core Innovations 1. Memory as Content-Addressed Truth. Every stored fact is a CID—not a UUID, not an auto-increment key. Any tampering produces a CID mismatch detected at read time. An auditor can verify the exact memory held by an agent at any past moment. No other agent framework provides this guarantee. 2. Kernel-Enforced Namespace Isolation. Agent A cannot read Agent B’s memory. This is Rust-kernel en- forcement, not a Python-layer convention: blocked = c . try_read ( pid_intruder , secret_cid ) # -> " Access denied : n a m e s p a c e i s o l a t i o n " # Directly m i t i g a t e s OWASP LLM08 ( E x c e s s i v e Agency ) 3. Structured Audit Grammar. Tool calls are not fire- and-forget strings. They are ActionRecords —machine- readable, CID-linked, compliance-tagged from the moment of creation. One record, four regulatory frameworks satis- fied simultaneously. 5 Working Mechanism from connector_oss import Connector c = Connector . from_config ( " connector . yaml " ) agent = c . agent ( " analyst " , " Analyze ␣ security ␣ incidents . " ) result = agent . run ( " Investigate ␣ anomaly ␣ in ␣ ns : ward - b " , " user : ciso " ) print ( result . trust ) # 87/100 kernel - c o m p u t e d print ( result . trust_grade ) # " A " # Under the hood on every . run () : # -> M e m P a c k e t written , CID c o m p u t e d ( Blake3 ) # -> Prolly Tree updated , Merkle root rotated # -> K e r n e l A u d i t E n t r y : op = MemWrite , 41 us , Ed25519 signed # -> Trust judgm e n t r e c o m p u t e d across 8 d i m e n s i o n s The YAML config drives agents, tools, policies, memory tiers, namespaces, and compliance frameworks. No code change is needed to move from development to HIPAA- compliant production. The Rust kernel runs in-process via PyO3—no network hop, no sidecar, no daemon. Com- pliance overhead: microseconds per operation 6 Empirical Snapshot Reference implementation: 350-line Python, complex YAML, 25-entity knowledge graph, 4-agent pipeline, live DeepSeek API. Metric Value Knowledge entities / edges injected 25 / 40 Facts stored (CID-addressed) 20 Session memory behaviors 10 Tool × agent RBAC matrix 10 × 3 Agents in live pipeline 4 Audit entries generated 105 Integrity check passed, issues = 0 Kernel trust judgment 100/100 A+ Kernel overhead per operation < 50 μ s Equivalent DIY (LangChain + custom) 4200–6500 lines Cryptographic guarantees in DIY none 7 Future Roadmap Distributed Kernel. Cell-based architecture with consistent-hash routing, CID-addressed conflict-free repli- cation, and Raft consensus. Single config change: store: "connector://cluster:4222" . The kernel API is unchanged; distribution is a storage concern. connector-oss Flow. @start / @listen decorator-based multi-agent flows with full kernel-recorded state transitions and deterministic session replay. Trust Gate. If result.trust < threshold , automat- ically route to human-in-the-loop before execution continues—EU AI Act Art. 14 human oversight in one decorator. SCITT Receipts. Every KernelAuditEntry linked to an IETF SCITT receipt CID for third-party-verifiable AI provenance. 8 Positioning connector-oss does not compete with LangChain or Cre- wAI. It is the substrate placed beneath them when agent output must be provable, isolated, auditable, and com- pliant. The enforcing deadline is August 2, 2026 (EU AI Act Art. 12, full enforcement for high-risk systems). Every enterprise deploying AI in healthcare, HR, credit, or legal must have demonstrable audit trails. connector-oss is the only open-source kernel that provides this at the substrate level in a single pip install “Truth is not a feature. It is the substrate.” References 2 pip install connector-oss npm install connector-oss Technical Teaser · v0.1.0 [1] EU AI Act, Reg. (EU) 2024/1689, Art. 12. Enforcement Aug 2, 2026. [2] HIPAA Security Rule, 45 CFR §164.312(b). Audit controls for ePHI. [3] GDPR, Art. 22 + Art. 30. Automated decisions; records of process- ing. [4] SOC 2, CC7.2. Detection and monitoring of security events. [5] OWASP LLM Top 10 (2025). LLM01, LLM06, LLM08. [6] IETF SCITT WG. Supply Chain Integrity, Transparency and Trust for AI. [7] Protocol Labs. IPFS / CID Specification (2015–2025). [8] Attic Labs / Noms. Prolly Trees: deterministic content-addressed B-trees. [9] Packer et al. (2023). MemGPT: LLMs as Operating Systems. [10] KPMG Q4 2026 AI Pulse Survey. Agentic AI enterprise investment. 3