Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
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Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
- ai
- cognitive-architecture
- vector-database
- ai-agents
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
- cloudflare-pages
- cloudflare-workers
- drizzle-orm
- tailwindcss
#1 Persistent memory for AI coding agents based on real-world benchmarks
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Personal memory across agents
- mcp
- memory
- sandbox
- agent-memory
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
- agentic-ai
- ai
- chats
- llm
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.
Hivemind turns your traces into reusable skills across agents
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
- agent-memory
- deepseek-harness
- local-first
- persistent-memory
TranslatedNot a Q&A bot, but a digital twin that can actually get work done. Agents and project context are shared, so all project members can work together. At the same time, agents, like people, abstract and summarize experience from materials or work into the project context.
- agent
- agent-framework
- agent-orchestration
- agent-skill
Translated🐋 DSH Fish Memory: gives sessions a long-term memory that fades over time, with a timestamp on every entry. The "fish" in the name comes from DeepSeek's whale.
- ai-companion
- deepseek-harness
- dsh-plugin
- long-term-memory
Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory
- agent-harness
- agentic-ai
- ai-agents
- coding-agent
The best agent harness.
TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.
- agent-memory
- claude-code
- codex
- context-compression
TranslatedA local memory layer for DeepSeek Harness: those who are raising a "big fat fish" can download it to play with. After testing, once downloaded it feels more human and more natural than using RAG or an external memory store alone.
- dsh-plugin
- dsh-plugin-market
Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 29 AI coding tools with zero configuration. Every tab, terminal, and AI stays automatically synchronized. One brain. Everywhere.
- ai-agents
- persistent-memory
- mcp
- claude-code
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
- ai-memory
- claude-code
- llm
- mcp
High-fidelity transcript memory for Claude Code — index every session, recall byte-identical, search, prune, compose. Local-first, stdlib-only, MCP.
- claude-code
- llm
- mcp
- memory
Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.
- claude-code
- claude-code-plugins
- decision-tracking
- embeddings
🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.