Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.
On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
Repo-native shared memory for AI coding agents.
Open-source MCP knowledge mesh - self-host your second brain, expose it to AI agents, federate with peers.
🌿 Prune your AI agent's context window. Reduce token usage by 70-95% with hierarchical memory. Replace flat MEMORY.md with a bonsai-shaped domain tree. Progressive disclosure, zero dependencies. Works with OpenClaw and any LLM agent framework.
Persistent memory, architectural decision enforcement, pre-execution safety hooks, and session handoff for Claude Code. MCP server plugin for AI coding agents.
Persistent architecture memory for AI coding agents via MCP. Design or reverse-engineer software architecture, explore ERDs and data lineage, and keep processor transformations aligned with code. Includes Claude Code and Codex plugins, skills, and samples.
First-Person Agent Memory Bench. 10 Categories including fact recall, multi-hop links, temporal reasoning, fact overwrites, speaker traps, refusal, credibility, and agentic tool usage. 540K token / 60 session corpus, all in first person. Dynamic output-answer-key portion. Comprehensive report with visuals and miss breakdown.
Persistent memory + security layer for Claude Code (MCP plugin). Agents remember your project across sessions (~87% fewer context tokens), every tool call lands in a tamper-evident HMAC audit chain, and skills are AST-scanned + HMAC-verified before they run. 100% local: PostgreSQL + Ollama, no cloud, MIT.
The self-correcting memory layer for AI agents. Zero-dependency Python memory and MCP server. Supersede, revert, or forget a value deterministically. Verifiable erasure, witness-backed tamper-evident receipts, EU AI Act ready.
MIT-licensed portable memory, guardrails, and orchestration framework for AI coding agents (Claude Code, Codex, Cursor)
The project brain for AI coding agents — persistent memory + sprints + decisions + KB delivered via MCP. 20 tools, MIT licensed. Works with Claude Code, Cursor, Codex, Antigravity, Gemini CLI.
Memory that degrades gracefully — four-tier lifecycle memory for AI agents
Governed, GDPR-native memory for AI agents with ITSM / ServiceNow integration built in: right-to-erasure, tenant isolation, prompt-injection defense, and audit. A governance layer over Mem0, Zep, or any store. Open-source alternative for compliant AI agent memory.
🧠 Discover and explore memory mechanisms for Large and Multimodal Language Models through curated systems, benchmarks, and research papers.
Local-first knowledge framework with source-grounded provenance. Every fact cites its exact origin.
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