Deterministic, persistent 3D/2D spatial world model for AI agents with entity tracking, object permanence, movement simulation, and expected view frustum projection.

High-frequency in-browser behavior tree execution engine for autonomous AI agents — 60Hz tick loops, reactive triggers, telemetry recordings, and safety guardrails.

Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs. Use for native capability discovery, logging, tracing, metrics/cost estimates, dataset experiments, documentation lookup, API verification, TypeScript setup, common errors,

Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.

The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

Use your Fulcra secure context lake to collaborate with other agents, read and write data, and more

Solve it once. From then on, your AI knows. Experience for coding agents, EU-hosted: an MCP server for Claude Code, Cursor, Copilot & Windsurf. Learns from every bug fix, commit and CI run.

Static analysis scanner for MCP server code and multi-tenant SaaS applications. 57 deterministic rules covering tenant isolation, tool visibility, cache key scoping, RLS, IDOR, and credential vault isolation. MCP server for AI agent integration.

Enables AI coding agents across supported harnesses to run a structured multi-agent workflow with persistent memory, squad roles, and bundled skills through MCP tools.

Enables capturing a tamper-evident, hash-chained local record of every AI agent tool call — both the decision before a tool runs and its outcome — so you can review what the agent actually did in order, detect edits, deletions, or reordering at the exact index, and export a signed evidence pack any third party can verify with no installs.

Persistent Memory for AI Agents, in plain local files. No network calls of its own.

Agent memory: working, episodic, semantic, procedural and core layers. Local SQLite, no account.

Enables agents to stream browser HAR captures into an indexed, redacted session and query endpoints, forms, authentication flows, and resource types through paginated MCP tools, with optional headless or interactive browser capture and export to OpenAPI or client SDKs.

Shared, persistent memory for AI agents: recall before acting, report outcomes to earn confidence.

One memory for your AI agents: scoped, expiring, revocable per-agent tokens and an audit log.

Enables AI coding agents to extract structural C# contracts from files and build solution-wide dependency graphs, so they can navigate code and assess change impact without reading entire files.

Reasonbook: decisions that survive the session, in a local record AI agents keep.

Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.

MindQL queries, hybrid search, and a thought graph - read/write memory for AI agents.

Evaluate your agent's context for unreliable sources, dependencies, redundant and stale claims.

Product context for AI agents: evidence, opportunities, initiatives, and decisions.

Memory for AI agents that knows what is still true. Typed bi-temporal facts, EU-hosted.