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AI Agent Memory Loss
AI agents lose context and memory between sessions, causing repeated work, stale facts, and broken multi-step workflows.
In their words
over 60% of my orchestrator's tokens were just re reading context it already had from the last call and my bill was give or take $580/month before this
agents started forgetting configs, credentials, and how to do their jobs
You don't have a retrieval problem, you have a "who gets to say what's true now" problem
I feel like every time I get a chance to work on this during the week, I have to retrain it instead of continuing where I left off.
it'll happily go down a path it already failed three sessions ago because nothing ever told it that path was a dead end
they get better at remembering and worse at forgetting the stuff that stopped mattering
Making the same mistakes again, and then even explaining it with, I said to myself I shouldn't do it this way, because it broke the flash before on x/y date.
Is anyone else having problems with it not remembering your standing rules or just becoming really sloppy?
15 20 turns later it starts losing things the user said at the top of the conversation and in the same session
after every restart the same context has to be prefetched again, which can take several minutes
If your agent can't tell you what it learned last Tuesday, it's not an agent, it's a random number generator with API access.
the platform does not include built-in semantic caching or duplicate question detection, so every user turn triggers a fresh retrieval and model inference call
If this can work with a reasoning agent that runs on my device, i'd cancel so many subscriptions.
Iterative LLM workflows where each session starts cold means re-feeding context that should persist... the thing I'd actually pay for is automatic capture of failed attempts
AI agent developers
Where they talk
- r/AI_Agents
- r/hermesagent
- r/LLMDevs
- r/ClaudeCode
- r/aiagents
- r/AIMemory
- r/LangChain
- r/LocalLLaMA
Tools they use today
- Hermes
- Claude Code
- Claude
- Mem0
- Codex
- Obsidian
- MCP
- Hindsight
Why those fall short
- Rules in CLAUDE.md get ignored once the agent is deep in a task
- memory dumps everything into prompt; skills load too eagerly; no relevant pre-flight retrieval
- no built-in memory map, context visibility, or curation; files fight each other
- pile of files gets messy, agent still misses context or invents stuff
- agent randomly changes working scripts, breaks them, swallows errors, lies about fixes
Map of ideas
Drawing the map…