OpenTimelineEngine – Shared local memory for Claude Code and codex
Local-first context engine that gives AI agents persistent, shared memory. Captures your real workflow, mines repeatable patterns, and serves past decisions back to agents like Claude, Codex, and Cursor — with citations, safety gates, and your learned working style enforced. - JOELJOSEPHCHALAKUDY/op
OpenTimelineEngine – Shared local memory for Claude Code and codex launched on February 28, 2026 with 5 votes, #1,883 of 16,628 launches that month and more than 75% of that year's launches.
What it does
Local-first context engine that gives AI agents persistent, shared memory. Captures your real workflow, mines repeatable patterns, and serves past decisions back to agents like Claude, Codex, and Cursor — with citations, safety gates, and your learned working style enforced. - JOELJOSEPHCHALAKUDY/open-timeline-engine
Does a similar job
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1CodeJan 2026 · github.com · ▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents

- APA plain-text cognitive architecture for Claude CodeMar 2026 · lab.puga.com.br · ▲157
One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.
Context GatewayMar 2026 · github.com · ▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Claude-MemDec 2025 · cmem.ai · ▲115AI agent memory, everywhere. claude-mem is open-source memory for Claude Code; cmem links it to any MCP client — Cursor, Codex, more — via one private link.
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