I use both OpenAI Codex and Claude Code daily on the same codebase. The biggest pain — they don't share memory. Claude fixes a bug, Codex repeats it next session. Every session starts from zero.
So I built Open Timeline Engine — a local-first engine that captures your decisions, mines patterns, and gives any MCP agent shared memory.
Interesting approach. How do you handle long-term drift or incorrect pattern capture?
If the system mines behavioral patterns from decisions, I imagine there’s a risk of reinforcing mistakes over time. Do you have a mechanism for pruning, versioning, or validating learned memory before it propagates across agents?
joeljoseph_|3 days ago
I use both OpenAI Codex and Claude Code daily on the same codebase. The biggest pain — they don't share memory. Claude fixes a bug, Codex repeats it next session. Every session starts from zero.
So I built Open Timeline Engine — a local-first engine that captures your decisions, mines patterns, and gives any MCP agent shared memory.
It also support gated autonomy
pavel_man|3 days ago
If the system mines behavioral patterns from decisions, I imagine there’s a risk of reinforcing mistakes over time. Do you have a mechanism for pruning, versioning, or validating learned memory before it propagates across agents?