This project uses state-memory-mcp with project slug "state-memory-mcp" to track tasks, decisions, blockers, and progress. ALWAYS update the state graph when performing work. For the complete tool reference and workflow patterns, see the state-memory-mcp skill in .agents/skills/state-memory-mcp/SKILL.md. <!-- state-memory-mcp:end --> This project utilizes vision-memory-mcp to cache visual states, record layout transitions, provide element grounding, and avoid repetitive LLM vision calls.
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Teaches the agent to use the state-memory-mcp MCP server to track workflow state, tasks, decisions, blockers, artifacts, plans, milestones, and their semantic relationships in a persistent graph database.
Teaches the agent to use the Visual Memory MCP server to cache webpage and application screenshots, matching layout states and avoiding redundant LLM vision calls.
Teaches the agent to use the WebCrypt MCP server for AES-256-GCM symmetric encryption, RSA-4096 hybrid encryption, key generation, digital signatures, hashing, and post-quantum cryptography. Includes automated test scripts for exercising all MCP tools.
Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
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This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "state-memory-mcp". This project utilizes `vision-memory
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This project uses behavior-mcp with project slug "state-memory-mcp" to execute deterministic behavior trees at ~60Hz in browser runtimes with reactive triggers and safety guardrails.
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This project utilizes vision-memory-mcp to cache visual states, record layout transitions, provide element grounding, and avoid repetitive LLM vision calls.
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This project uses world-model-mcp with project slug "state-memory-mcp" to maintain a persistent 3D/2D spatial internal world model, entity tracking, object permanence, and movement simulation.
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PuterVision is an AI engineering research laboratory pioneering deterministic multi-modal state memory, visual perception caching, 3D spatial world models, high-frequency behavior tree execution engines, and BDI reasoning architectures for autonomous AI developer agents and the Model Context Protocol (MCP).
11445d agoReviewMountCreate a free account to mount
This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "state-memory-mcp". This project utilizes `vision-memory-
11445d agoReviewMountCreate a free account to mount
This project uses state-memory-mcp with project slug "world-model-mcp" to track tasks, decisions, blockers, and progress. ALWAYS update the state graph when performing work. For the complete tool reference and workflow patterns, see the state-memory-mcp skill in .agents/skills/state-memory-mcp/SKILL.md. <!-- state-memory-mcp:end --> This project utilizes vision-memory-mcp to cache visual states, record layout transitions, provide element grounding, and avoid repetitive LLM vision calls.
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Teaches the agent to use the state-memory-mcp MCP server to track workflow state, tasks, decisions, blockers, artifacts, plans, milestones, and their semantic relationships in a persistent graph database.
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
putervisionAGENTS.md