World's first local-only AI memory to break 74% retrieval and 60% zero-LLM on LoCoMo. No cloud, no APIs, no data leaves your machine. Additionally, mode C (LLM/Cloud) - 87.7% LoCoMo. Research-backed. arXiv: 2603.14588

Runtime failure resolution for coding agents. Hooks into Claude Code, Codex & your favourite harnesses. Catches loops, dangerous actions, and secret leaks before they become incidents. Zero latency. Runs locally.

Real-time monitoring of production AI agents.

Lint rules for your AI agent's discipline, not its code

Qualixar OS: The Universal OS for AI Agents. Claw-compatible. 12 topologies, Forge AI team designer, 24-tab dashboard, skill marketplace. PAPER: https://arxiv.org/abs/2604.06392

Stop overpaying to run your agents. Kalibr routes every request to lower-cost model and tool paths without degrading performance.

ThumbGate Pre-Action Checks derive rules from repeated failures, flag risky tool calls, hard-block detected secret leaks, and block matches in strict mode.

Audit any agent decision across its past, present, and future, on one typed graph.

SourceryKit — counterspell for hallucinating agents. Python SDK that breaks the illusion on every tool call, API response, and MCP handoff before bad outputs propagate.

A curated list of papers, tools, datasets, benchmarks, and standards for building, evaluating, and auditing reliable AI agents.

Local acceptance gate for coding agents: blocks false-green done until task-scoped proof is rechecked.

Agent workspace architecture — the reference implementation of an agent-ready memory layer, demonstrated end-to-end in Claude Code: roles library, typed memory, hooks, scheduled agents, self-audits, loop selection, measurement-gated self-improvement. Interactive tour, fork-ready samples.

A discipline for governing autonomous AI agents in production.

Make sure AI agents actually do what they claim, no more fake successes.

Formal behavioral specification and runtime enforcement for autonomous AI agents. Agent Behavioral Contracts (ABC).

Deterministic trajectory contracts for AI agents - pre-execution guard, sub-millisecond, MIT.

OpenClaw plugin for Kalibr autonomous routing. Captures LLM telemetry and agent outcomes via plugin hooks, reports to Kalibr for autonomous path optimization.

OS-level safeguards layer for AI agent loops — runaway-kill, timeouts & resource limits so coding agents (Claude Code, Cursor, Codex, Antigravity) in YOLO mode can't burn tokens or freeze your Mac

Operating contracts, task templates, safety gates, and audit scripts for reliable AI agent teams