agentic-context-engine vs hindsight
Learning loop for any agent: reflect on failures, distill strategies into a Skillbook, inject them next run — 2x consistency on Tau2, 49% token cuts. LiteLLM-based, 100+ providers. — versus — Agent memory that learns, not just recalls: retain/recall/reflect API over Postgres, SOTA on LongMemEval. Self-host via Docker with UI; Python/TS clients, any LLM provider.
Both sell 'agents that learn, not just remember' — opposite deployments: Hindsight is a self-hosted memory service (Docker + Postgres, retain/recall/reflect over HTTP); ACE is an embedded Python loop distilling strategies in-process. Service vs library.
| agentic-context-engine | hindsight | |
|---|---|---|
| Stars | 2.5k | 19k |
| Forks | 301 | 1.2k |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last activity | 14 days ago | 2 days ago |
| Topics | memory, agents | memory, agents |
| Curated connections | 3 | 3 |
agentic-context-engine — the curator's take
The in-process answer to 'my agent repeats the same mistakes': wrap your agent, feed it corrections, and ACE extracts reusable strategies it injects on later runs — no fine-tuning, no reward signals, and the numbers are concrete (2x pass^4 on Tau2, ~$1.50 to learn its way through a 14k-line translation). Pick it over a memory *service* when you want the learning inside your Python process rather than behind an HTTP API. NOT magic memory: strategies come from explicit feedback loops you wire up, quality follows the judge model, and the open-source engine is the on-ramp to the hosted Kayba product — check where the managed line lands before betting infra on it.
hindsight — the curator's take
Pick it when you want a deployable memory *service* whose pitch is learning — agents that get better over time, not a transcript search. The LongMemEval lead was independently reproduced (Virginia Tech, Washington Post), which is more than most memory vendors offer, and the LLM side is pluggable down to Ollama/LM Studio for fully-local stacks. NOT an embedded library: you run a Docker service with Postgres and talk to it over HTTP — overkill for a single coding agent wanting session notes. The ™ and Hindsight Cloud signal a commercial trajectory; watch where the open/paid line lands.