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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Garry's Opinionated OpenClaw/Hermes Agent Brain
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
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
#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.
The repository host gives no description.
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.
One shared memory for every coding agent on your team. Claude Code, Cursor and Codex get a map of your code and your team's past decisions, so they pick up where you left off.
- ai-agents
- claude-code
- code-graph
- context-engineering
Permanent memory for AI agents. A 426-token prompt, a script, plug and play.
Hivemind turns your traces into reusable skills across agents
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude Code, Cursor, Hermes Agent and OpenClaw on one squad: they hand work to each other and review each other's code. Open source, runs on your computer.
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
The repository host gives no description.
The ai agent workflow tool that scales from small, simple projects to large, complex codebases.
- agent
- agent-memory
- agent-orchestration
- agentic-workflow
TranslatedA pure plugin implementation that brings "cross-session long-term memory + background self-evolution" capabilities to DeepSeek Harness: five-track memory · git branch awareness · in-turn self-review · skill self-evolution and a skill manager · four-track to-dos · COI scheduling · session broadcast · session search · prompt manager · temporary information notepad — zero core modifications, zero runtime dependencies, ready to use as soon as it is installed, and clean once uninstalled.
TranslatedGive your AI a body, and a bit of human touch — a QQ companion chatbot that remembers things and reads the occasion, plus an MCP server that can control Android phones
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
TranslatedMulti-scenario AI workbench: six-layer master outline + topology wiring diagram + public-version workbench templates (four scenarios can run, source code can be copied and used as is) + memory mechanism. Companion marketplace: https://www.mydsh.xyz . Author: https://linyujia.me . Note: it does not work as soon as it is installed; the scenarios need to be tuned to your own content.
Persistent infinite memory with profiles, background agents, and conversation imports for Pi.
- memory
- pi-extension
- optchat
The best agent harness.
TranslatedGive Jingjing a complete world
The agentic memory & message gateway for deepseek-harness
Persona AI SDK: default personas, durable character memory, and Bedrock/OpenAI adapters in one package.